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 PROF. Marcos Eduardo Orchard Concha (Ph.D., PHMS Fellow)

e-mail: morchard@ing.uchile.cl

ResearcherID: H-4418-2013, ResearchGate 

Professor

Department of Electrical Engineering

Faculty of Physical and Mathematical Sciences

Universidad de Chile, Santiago, Chile

Director

Centro de Aceleración Sostenible de Electromovilidad (CASE)

Universidad de Chile, Santiago, Chile.


   

Principal Investigator

Advanced Center for Electrical and Electronic Engineering

Universidad Técnica Federico Santa María, Chile

Editor-in-Chief

International Journal of Prognostic and Health Management

PHM Society

   

Associate Researcher

Center of Energy

Faculty of Physical and Mathematical Sciences

Universidad de Chile, Santiago, Chile

Past-President

Chilean Association of Automatic Control (ACCA)

Chilean NMO of IFAC

 

BookCover

Dr. Marcos E. Orchard is Professor with the Department of Electrical Engineering at Universidad de Chile, Director of the Center for Sustainable Acceleration of Electromobility (CASE), Principal Investigator at the Advanced Center for Electrical and Electronic Engineering (Universidad Técnica Federico Santa María), and Associate Researcher at the Center of Energy (Universidad de Chile). His current research interests are the design, implementation and testing of real-time frameworks for fault diagnosis and failure prognosis, with applications to battery management systems, electromobility, mining industry, finance, and crime risk prediction. His fields of expertise include statistical process monitoring, parametric/non-parametric modeling, and system identification. His research work at the Georgia Institute of Technology was the foundation of novel real-time fault diagnosis and failure prognosis approaches based on particle filtering algorithms. He received his Ph.D. and M.S. degrees from The Georgia Institute of Technology, Atlanta, GA, in 2005 and 2007, respectively. He received his B.S. degree (1999) and a Civil Industrial Engineering degree with Electrical Major (2001) from Catholic University of Chile. Dr. Orchard is an internationally recognized expert in the field of fault diagnosis and prognosis, Bayesian filtering in dynamic non-linear systems, stochastic processes and sequential Monte Carlo methods.

 

Research Lines:

My research interests include system identification, fault detection and isolation (FDI), failure prognosis, and statistical process control. Amongst the techniques and approaches that I am familiar with I can mention sequential Monte Carlo methods (Particle Filtering), Kalman filtering, multivariate statistical analysis (PCA and PLS), wavelet analysis, fuzzy expert systems, fuzzy predictive control, neural networks. At the moment, I am focused on uncertainty characterization and management in failure prognostic algorithms using sequential Monte Carlo methods applied to nonlinear, time-varying, and non-Gaussian systems. More information may be found in my publications.

  • Failure Prognosis in Nonlinear Dynamic Systems: Theory and Practice

  • Bayesian Processors for State Estimation in Non-Gaussian Dynamic Systems

  • Prognostics-based Decision Making in Complex Dynamic Systems

 

 

Research Experience

  • Codelco ODS-16-24 “Electromovilidad en minería subterránea”. Código 4502331036. Convenio de Desarrollo Tecnológico entre Corporación Nacional del Cobre de Chile y Facultad de Ciencias Físicas y Matemáticas de la Universidad de Chile. Director: Javier Ruiz del Solar (Universidad de Chile), Director Alterno: Marcos Orchard (Universidad de Chile) (2024-2026).

  • FONDEF IDeA Tecnologías Avanzadas TA24I10053: “AI-based battery state-of-health-aware management operating system for micro e-mobility, e-fleet mission planning and energy back-up,” Director: Gonzalo Díaz (Universidad de Chile), Director Alterno: Jorge Silva (Universidad de Chile), Principal Investigator: Marcos Orchard (Universidad de Chile) (2025-2028).

  • FONDEF IDeA Tecnologías Avanzadas TA23I10055: “Sistema Integrado de Monitoreo Estructural Predictivo para Aerogeneradores,” Director: Rodrigo Astroza (Universidad de Los Andes), Director Alterno: Marcos Orchard (Universidad de Chile) (2024-2027).

  • FONDECYT Project 1231015: “Competitive Off-grid Photovoltaic Green Hydrogen production based on the Versatile Buck-Boost Power Electronics Building Block.” PI: Carlos Restrepo (U.Talca), Co-PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2023-2027).

  • CORFO Project 20CTEM 131733: “Centro de Aceleración Sostenible de Electromovilidad (CASE).” (Agencia de Sostenibilidad Energética, Universidad Austral, Universidad de Santiago de Chile, Universidad Tecnológica Metropolitana, EY Consulting, Centro Mario Molina). Director: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Universidad de Chile (2022-2027).

  • FONDECYT Project 1220507: “Distributed Predictive Control Strategies Based on Evolving Prediction Intervals for Energy-Water Microgrid.” PI: Doris Sáez (U.Ch.), Co-PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2022-2026).

  • FONDEF IDeA ID17I20140: “Sistema de Monitoreo para Diagnóstico y Pronóstico de Daño Estructural en Turbinas Eólicas,” Director: Rodrigo Astroza (Universidad de Los Andes), Director Alterno: Marcos Orchard (Universidad de Chile) (2021-2023).

  • FONDECYT Project 1210315: “Topics on Information Theory Applied to Machine Learning and Decision: Theory, Methods, and Applications.” PI: Jorge Silva (U.Ch.), Co-PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2021-2024).

  • FONDECYT Project 1210031: “A Hidden-Markov-Model-based Failure Prognostic Framework for Real-time Prognostic Decision Making.” PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2021-2024).

  • FONDEF IDeA ID17I20338: “Investigación y Desarrollo de un Alimentador Electrónico para Máxima Eficiencia en Motores de Inducción,” Director: Juan Carlos Travieso (USACH), Director Alterno: Marcos Orchard (Universidad de Chile) (2021-2022).

  • FONDECYT Project 1201319: “Energy efficient navigation strategies for autonomous N-trailer vehicles in agricultural applications” PI: Fernando Auat (UTFSM), Co-PI: Marcos Orchard (U.Ch.), Miguel Torres (PUC) (2020-2022).

  • CORFO: Atacama Module and System Technology Center (AtaMoS-TeC). Work Package 4: Operation & Maintenance Development (WP4). Universidad de Antofagasta, Universidad de Chile, Universidad Técnica Federico Santa María, Universidad de Concepción, Universidad Adolfo Ibañez, CEA INES (France), ISC Konstanz (Germany), Fraunhofer-Chile, and Phibrand S.A. (2018-2020).

  • FONDEF IDeA ID18I10379: “Desarrollo de un Modelo de Inteligencia Artificial para la Optimización del Rendimiento de Baterías Ion-Litio en Vehículos Eléctricos,” INACAP (Sede Osorno) - Universidad de Chile (2018-2020).

  • Conicyt REDES-170031: Prognostics and Health Management in Electro-mobility, PI: Marcos Orchard (U.Ch.), Co-PIs: Kamal Medjaher (ENIT), and Williams Calderon (U.Ch.). Center of Energy (University of Chile)-Tarbes National School of Engineering (2018-2019).

  • FONDEF IDeA ID17I10140: “Sistema de Monitoreo para Diagnóstico y Pronóstico de Daño Estructural en Turbinas Eólicas,” Director: Rodrigo Astroza (Universidad de Los Andes), Director Alterno: Marcos Orchard (Universidad de Chile) (2017-2019).

  • FONDECYT Project 1170044: “Prognostics Performance Metrics based on Bayesian Cramer-Rao Lower Bounds.” PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2017-2020).

  • FONDECYT Project 1170683: “Robust Distributed Predictive Control Strategies for the Coordination of Hybrid AC and DC Microgrids.” PI: Doris Sáez (U.Ch.), Co-PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2017-2020).

  • Conicyt REDES-150083: Control Strategies and Hardware Topologies for the Operation of Energy Storage System in Microgrids, PI: Juan Yuz (UTFSM), Co-PIs: Roberto Cardenas (U.Ch.), Doris Sáez (U.Ch.) and Marcos Orchard (U.Ch.). AC3E UTFSM-University of Waterloo (2016-2017).

  • Conicyt PIA ACT1405, "Procesos fundamentales en física de plasmas espaciales combinando instrumentación, observaciones, teoría y simulaciones," Programa de Investigación Asociativa, CONICYT. Director: Juan Valdivia (UCh), PIs: Marcos Díaz (UCh), Marcos Orchard (UCh), Marina Stepanova (USACH). Faculty of Sciences. Universidad de Chile (2016-2018).

  • Ministerio del Interior y Seguridad Pública, Subsecretaría Prevención del Delito, Proyecto 147/2015, "Desarrollo de Software Computacional de un Sistema Predictivo del Delito Urbano y Rural para Carabineros de Chile," Director: Raúl Manasevich (U.Ch.), Alternate Director: Marcos Orchard (U.Ch.), CEAMOS - Universidad de Chile (2015-2016). 

  • Innova-Chile CORFO Project 15IPPID-45859, "Integración de Dispositivos de Almacenamiento Energético Secundario usando Baterías Betavoltaicas," Researcher, Academia Politécnica Militar de Chile (2016). 

  • FONDECYT Project 1151476: "Cubesat Platform for Space and Technology Research". PI: Marcos Díaz (U.Ch.), Co-PI: Marcos Orchard (U.Ch.). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2015-2017).

  • FONDECYT Project 1151213:"Information and decision theory applied to the measurement of quantities of astronomical interest: The case of ground- and space-based astrometry and photometry". PI: Rene Mendez (U.Ch.), Co-PIs: Marcos Orchard (U.Ch.), Jorge Silva (U.Ch.), Ernest Michael (U.Ch.). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2015-2017). 

  • FONDECYT Project 1140774: “Novel estimation and prognostic techniques for the analysis of state-of-charge and state-of-health degradation in energy storage devices”. PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2014-2016).

  • Conicyt REDES-130029: Generation of International Networking between International Research Centers, PI: Marcos Orchard (U.Ch.). Faculty of Mathematical and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2013-2014).

  • CSIRO-Chile International Center of Excellence (Innova-Chile CORFO); Program 3-Project 1: "Intelligent Management Systems for Equipment". PI: Marcos Orchard (U.Ch., 2012-2015).

  • Innova-Chile CORFO Project 11IDL1-10409: “Enfoque Probabilístico Basado en Modelos para la Estimación en Línea del Estado-de-Salud/Estado-de-Carga y Caracterización del Perfil de Uso de Baterías de Ion-Litio” PI: Marcos Orchard (U.Ch.). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2012).

  • FONDECYT Project 1110070: “Risk-Sensitive Particle Filtering Framework for Failure Prognosis and uncertainty Representation in Nonlinear Systems with High-Impact/Low-Likelihood Events”. PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2011-2013).

  • FONDECYT Project 11070022: “Sequential Monte Carlo Methods and Feedback Concepts Applied to Fault Diagnosis and Failure Prognosis in Nonlinear, Non-Gaussian Dynamic Systems”. PI: Marcos Orchard (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2007-2009).

  • FONDECYT Project 1020741: “Fault Detection and Diagnosis in Dynamic Non Linear Time Varying Systems”. PI: Aldo Cipriano (P.U.C.) y Guillermo González (U.Ch). Faculty of Mathematics and Physical Sciences. Department of Electrical Engineering. Universidad de Chile (2002).

  • “Model-Based Fuzzy Predictive Control for Grinding Plants”. PI: Aldo Cipriano. Faculty of Civil Engineering. Department of Electrical Engineering. Pontificia Universidad Católica de Chile (2001).

  • “A Full Compensating System for General Loads, Based on a Combination of Thyristor Binary Compensator and a PWM-IGBT Active Power Filter”.  PI: Juan Dixon. Faculty of Civil Engineering. Department of Electrical Engineering. Pontificia Universidad Católica de Chile (2000).

  • INCO-PROQUS “Advanced Model Based Process and Quality Supervision in Steel Production. Expert system for real time supervision”. PI: Aldo Cipriano. Faculty of Civil Engineering. Department of Electrical Engineering. Pontificia Universidad Católica de Chile (1999-2000).

 

Teaching:

  • Department of Electrical Engineering, Faculty of Physical and Mathematical Sciences, Universidad de Chile.

    EL7014 "Diagnóstico y Pronóstico de Fallas" (Fault Diagnosis and Failure Prognosis)

    EL5205 "Laboratorio de Control Avanzado" (Advanced Control Systems Laboratory)

    EL4105 "Control Avanzado de Sistemas" (Advanced Control Systems)

    EL4003 "Señales y Sistemas II" (Signals and Systems II)

    EL3204 "Análisis de Sistemas Dinámicos y Estimación" (Dynamic Systems Analysis and Estimation)

    EL3104 "Probabilidad y Procesos Estocásticos" (Probability and Random Processes)

    EL650 "Control Avanzado de Sistemas" (Advanced Control Systems)

    EL42D "Control de Sistemas" (Control Systems)

    EL32D "Análisis y Modelación de Sistemas Dinámicos" (Modeling and Analysis of Dynamic Systems)

    EL32C "Análisis de Circuitos II" (Network Analysis II)

  • Department of Electrical and Computer Engineering. Georgia Institute of Technology. Atlanta, Georgia, USA.

    ECE 4562 "Neural Networks and Fuzzy Logic in Control"

 

Journal Publications:

  • Oróstica, K.; Mardones, F.; Bernal, Y.; Molina, S.; Orchard, M.; Verdugo, R.; Carvajal-Hausdorf, D.; Marcelain, K.; Contreras, S.; Armisen, R., "Advances in machine learning for tumour classification in cancer of unknown primary: A mini-review," Cancer Letters, Vol. 611, 217348, 2025. DOI:  https://doi.org/10.1016/j.canlet.2024.217348

  • Sánchez-Rivero, M.; Duarte-Mermoud, M.; Travieso-Torres, J.; Orchard, M.; Ceballos-Benavides, G., "Analysis of Fractional Order-Adaptive Systems Represented by Error Model 1 Using a Fractional-Order Gradient Approach," Mathematics, 12(20), 3212, 2024. DOI:  https://doi.org/10.3390/math12203212

  • Ceballos, G.; Duarte-Mermoud, M.; Orchard, M.; Ehijo, A., "Enhancing the Pitch-Rate Control Performance of an F-16 Aircraft Using Fractional-Order Direct-MRAC Adaptive Control," Fractal and Fractional, 8, 338, 2024. DOI:  https://doi.org/10.3390/fractalfract8060338

  • Gutierrez, J.M.; Astroza, R.; Jaramillo, F.; Orchard, M.; Guarini, M., "Evolution of modal parameters of composite wind turbine blades under short- and long-term forced vibration tests," Journal of Civil Structural Health Monitoring, 2024. DOI:  https://doi.org/10.1007/s13349-024-00773-1

  • Muxica, D.; Rivera, S.; Orchard, M.; Ahumada, C.; Jaramillo, F.; Bravo, F.; Gutierrez, J.M.; Astroza, R., "Autonomous Sensor System for Wind Turbine Blade Vibration Measurement and Structural Health Monitoring," Sensors, 24(6), 1733, 2024. DOI:  https://doi.org/10.3390/s24061733

  • Vicuña, M.; Silva, J.; Mendez, R.; Orchard, M.; Espinosa, S.; Tregloan-Reed, J., "Optimal photometry of point sources: Joint source flux and background determination on array detectors - from theory to practical implementation," Publications of the Astronomical Society of the Pacific, Vol. 136, 014501, 2024. DOI:  https://doi.org/10.1088/1538-3873/ad0ca3

  • Jara, C.; Orchard, M.; Devia, C., "Exploring the Benefits of Images with Frequency Visual Content in Predicting Human Ocular Scanpaths using Artificial Neural Networks," Expert Systems with Applications, Vol. 239, 121839, 2024. DOI:  https://doi.org/10.1016/j.eswa.2023.121839

  • Martinez-Gomez, M.; Orchard, M.; Bozhko, S., "Dynamic Average Consensus with Anti-windup applied to Interlinking Converters in AC/DC Microgrids under Economic Dispatch and Delays," IEEE Transactions on Smart Grid, Vol. 14, Issue 5, pp. 4137-4140, 2023. DOI:  https://doi.org/10.1109/TSG.2023.3291208

  • Peña-Ancavil, E.; Estevez, C.; Sanhueza, A.; Orchard, M., "Adaptive Scalable Video Streaming (ASViS): An Advanced ABR Transmission Protocol for Optimal Video Quality," Electronics, Vol. 12, Issue 21, 4542, 2023. DOI:  https://doi.org/10.3390/electronics12214542

  • Kordestani, M.; Mousavi, M.; Chaibakhsh, A.; Orchard, M.; Khorasani; K.; Saif, M., "A New Compressor Failure Prognostic Method Using Nonlinear Observers and a Bayesian Algorithm for Heavy-Duty Gas Turbines," IEEE Sensors Journal, Vol. 23, no. 4, pp. 3889-3900, 2023. DOI:  https://doi.org/10.1109/JSEN.2022.3233585

  • Videla, M.; Mendez, R.; Silva, J.; Orchard, M., "Optimal observational scheduling framework for binary and multiple stellar systems," Publications of the Astronomical Society of the Pacific, Vol. 135, 014501, pp. 1-19, 2023. DOI:  https://doi.org/10.1088/1538-3873/acaebc

  • Acuña, D.; Orchard, M., "Near-Instantaneous Battery End-of-Discharge Prognosis via Uncertain Event Likelihood Functions," ISA Transactions, Vol.135, pp. 199-212, 2023. DOI:  https://doi.org/10.1016/j.isatra.2022.09.040

  • Torres, J.; Orchard, M.; Torres-Torriti, M.; Auat, F., "GNSS-based estimation of average instantaneous power consumption in electric vehicles," IEEE Transactions on Industrial Electronics, Vol. 70, no. 9, pp. 9281-9290, 2023. DOI:  https://doi.org/10.1109/TIE.2022.3206748

  • Tamssaouet, F.; Nguyen, K.; Medjaher, K.; Orchard, M.; "System-level failure prognostics: Literature review and main challenges," Journal of Risk and Reliability, Vol. 237, Issue 3, pp. 524-545, 2023. DOI:  https://doi.org/10.1177/1748006X221118448

  • Alvarado, D.; Moreno, D.; Orchard, M.; Kirschen, D., "Cost-benefit Analysis of Maintenance Plans: Case Study of the Power System of a Large Industrial Facility," IEEE Transactions on Power Systems, Vol. 38, Issue 3, pp. 2046-2057, 2023. DOI:  https://doi.org/10.1109/TPWRS.2022.3185376

  • Ceballos, G.; Duarte-Mermoud, M.; Orchard, M.; Travieso-Torres, J.C., "Pitch Angle Control of an Airplane using Fractional Order Direct Model Reference Adaptive Controllers," Fractal and Fractional, 7, 342, 2023. DOI:  https://doi.org/10.3390/fractalfract7040342

  • Futalef, J.P.; Muñoz-Carpintero, D.; Rozas, H.; Orchard, M., "An online decision-making strategy for routing of electric vehicle fleets," Information Sciences, Vol. 625, pp. 715–737, 2023. DOI:  https://doi.org/10.1016/j.ins.2022.12.108

  • Kordestani, M.; Orchard, M.; Khorasani; K.; Saif, M., "An Overview of the State-of-the-Art in Aircraft Prognostic and Health Management Strategies," IEEE Transactions on Instrumentation & Measurement, Vol. 72, pp. 1-15, Art no. 3505215, 2023. DOI:  https://doi.org/10.1109/TIM.2023.3236342

  • Arias-Cazco, D.; Rozas, H.; Jimenez, D.; Orchard, M.; Estevez, C., "Unifying Criteria for Calculating the Levelized Cost of Driving in Electro-Mobility Applications," World Electric Vehicle Journal, 13(7), 19, 2022. DOI:  https://doi.org/10.3390/wevj13070119

  • Yaqoob, M.; Lashab, A.; Vasquez, J.; Guerrero, J.; Orchard, M.; Bintoudi, A., "A Comprehensive Review on Small Satellite Electrical Power System," IEEE Transactions on Power Electronics, Vol. 37, Issue 10, pp. 12741-12762, 2022. DOI:  https://doi.org/10.1109/TPEL.2022.3175093

  • Kordestani, M.; Rezamand, M.; Orchard, M., Carriveau, R.; Ting, D.; Rueda, L.; Saif, M., "New Condition-based Monitoring and Fusion Approaches with a Bounded Uncertainty for Bearing Lifetime Prediction," IEEE Sensors Journal, Vol. 22, Issue 9, pp. 9078-9086, 2022. DOI:  https://doi.org/10.1109/JSEN.2022.3159624

  • Videla, M.; Méndez, R.; Claveria, R.; Silva, J.; Orchard, M., "Bayesian inference in single-line spectroscopic binaries with a visual orbit," The Astronomical Journal, Vol. 163, No. 5, pp. 1-29, 2022. DOI:  https://doi.org/10.3847/1538-3881/ac5ab4

  • Jaramillo, F.; Gutiérrez, J.; Orchard, M.; Guarini, M.; Astroza, R., "A Bayesian approach for fatigue damage diagnosis and prognosis of wind turbine blades," Mechanical Systems and Signal Processing, Vol. 174, 109067 (pp. 1-18), 2022. DOI:  https://doi.org/10.1016/j.ymssp.2022.109067

  • Travieso-Torres, J.; Contreras, C.; Hernández, F.; Duarte-Mermoud, M.; Aguila-Camacho, N.; Orchard, M., "Adaptive Passivity-based Control Extended for Unknown Control Direction," ISA Transactions, Vol. 122, pp. 398-408, 2022. DOI:  https://doi.org/10.1016/j.isatra.2021.04.028

  • González, M.; Silva, J.; Videla, M.; Orchard, M., "Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection with Mutual Information Estimation," IEEE Transactions on Signal Processing, Vol. 70, pp. 158-173, 2022. DOI:  https://doi.org/10.1109/TSP.2021.3135689

  • Tamssaouet, F.; Nguyen, K.; Medjaher, K.; Orchard, M., "Fresh New Look on System-level Prognostic: Handling Multi-component Interactions, Mission Profile Impacts, and Uncertainty Quantification," International Journal of Prognostics and Health Management, Vol. 12, Issue 2, 2021. DOI: https://doi.org/10.36001/IJPHM.2021.v12i2.2777

  • Martinez-Gomez, M.; Navas, A.; Orchard, M.; Bozhko, S.; Burgos-Mellado, C.; Cardenas, R., "Multi-Objective Finite-Time Control for the Interlinking Converter on Hybrid AC/DC Microgrids," IEEE Access, Vol. 9, pp. 116183 - 116193, 2021. DOI:  https://doi.org/10.1109/ACCESS.2021.3105649

  • Jaras, I.; Harada, T.; Orchard, M.; Maldonado, P.; Vergara, R., "Extending the integrate-and-fire model to account for metabolic dependencies," European Journal of Neuroscience, Vol. 54, Issue 4, pp. 5249-5260, 2021. DOI: https://doi.org/10.1111/ejn.15326

  • Rozas, H.; Muñoz-Carpintero, D.; Sáez. D.; Orchard, M., "Solving in Real-time the Dynamic and Stochastic Shortest Path Problem for Electric Vehicles by a Prognostic Decision Making Strategy," Expert Systems with Applications, Vol. 184, 115489, 2021. DOI: https://doi.org/10.1016/j.eswa.2021.115489

  • Villegas, C.; Méndez, R.; Silva, J.; Orchard, M., "Bayes-based orbital elements estimation in triple hierarchical stellar systems," Publications of the Astronomical Society of the Pacific, Vol. 133, No. 1025, 074501, 2021. DOI:  https://doi.org/10.1088/1538-3873/ac0239

  • Kordestani, M.; Saif, M.; Orchard, M.; Razavi-Far, R.; Khorasani, K., "Failure Prognosis with Some Applications – A Survey of Recent Literature," IEEE Transactions on Reliability, Vol. 70, Issue 2, pp. 728-748, 2021. DOI: https://doi.org/10.1109/TR.2019.2930195

  • Tamssaouet, F.; Nguyen, K.; Medjaher, K.; Orchard, M., "Degradation Modeling and Uncertainty Quantification for System-Level Prognostics," IEEE Systems Journal, Vol. 15, Issue 2, pp. 1628-1639, 2021. DOI: https://doi.org/10.1109/JSYST.2020.2983376

  • Tamssaouet, F.; Nguyen, K.; Medjaher, K.; Orchard, M., "Online joint estimation and prediction for system-level prognostics under component interactions and mission profile effects," ISA Transactions, Vol. 113, pp. 52-63, 2021. DOI: https://doi.org/10.1016/j.isatra.2020.05.002

  • Rozas, H.; Troncoso-Kurtovic, D.; Ley, C.; Orchard, M., "Lithium-Ion Battery State-of-Latent-Energy (SoLE): A Fresh New Look to the Problem of Energy Autonomy Prognostics in Storage Systems," Journal of Energy Storage, Vol. 40, 102735, 2021. DOI: https://doi.org/10.1016/j.est.2021.102735

  • Ley, C.; Orchard, M., "Simultaneous Inference of Lithium-Ion Battery Polarising Impedance Surface and Capacity Degradation using a Hybrid Neural Adaptive State Space Model," Journal of Energy Storage, Vol. 36, 102370, 2021. DOI: https://doi.org/10.1016/j.est.2021.102370

  • Rezamand, M.; Kordestani, M.; Carriveau, R.; Ting, D.; Orchard, M.; Saif, M., "Improved Remaining Useful Life Estimation of Wind Turbine Drivetrain Bearings Under Varying Operating Conditions (VOC)," IEEE Transactions on Industrial Informatics, Vol. 17, Issue 3, pp. 1742-1752, 2021. DOI: https://doi.org/10.1109/TII.2020.2993074

  • Acuña, D.; Orchard, M.; Wheeler, P., "Computation of Time Probability Distributions for the Occurrence of Uncertain Future Events," Mechanical Systems and Signal Processing, Vol. 150, 107332, 2021. DOI: https://doi.org/10.1016/j.ymssp.2020.107332

  • Rezamand, M.; Kordestani, M.; Carriveau, R.; Ting, D.; Orchard, M.; Saif, M., "Critical Wind Turbine Components Prognostics: A Comprehensive Review," IEEE Transactions on Instrumentation & Measurement, Vol. 69, Issue 12, pp. 9306-9328, 2020. DOI: https://doi.org/10.1109/TIM.2020.3030165

  • Paccha-Herrera. E.; Calderón-Muñoz, W.; Orchard, M.; Jaramillo, F.; Medjaher, K., "Thermal modeling approaches for a LiCoO2 lithium-ion battery. A comparative study with experimental validation," Batteries, 6(3), 40, 2020. DOI: https://dx.doi.org/10.3390/batteries6030040

  • Díaz, C.; Quintero, V.; Pérez, A.; Jaramillo, F.; Burgos-Mellado, C.; Rozas, H.; Orchard, M.; Sáez, D.; Cárdenas, R., "Particle-filtering-based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications" IEEE Transactions on Vehicular Technology, Vol. 69, Issue 7, pp. 7187-7200, 2020. DOI: https://doi.org/10.1109/TVT.2020.2993949

  • Rozas, H.; Jaramillo, F.; Pérez, A.; Jimenez, D.; Orchard, M.; Medjaher, K., "A method for the reduction of the computational cost associated with the implementation of particle-filter-based failure prognostic algorithms," Mechanical Systems and Signal Processing, Vol. 135, 106421, 2020. DOI: https://doi.org/10.1016/j.ymssp.2019.106421

  • Aguila-Camacho, N.; Duarte-Mermoud, M.; Orchard, M., "Fractional order controllers for throughput and product quality control in a grinding mill circuit," European Journal of Control, Vol. 51, pp. 122-134, 2020. DOI:  https://doi.org/10.1016/j.ejcon.2019.08.002

  • Orchard, M.; Muñoz-Poblete, C.; Huircan, JI.; Galeas, P.; Rozas, H., "Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries based on Hidden Markov Models and the Viterbi Algorithm," Sensors, 19(20), 4421, 2019. DOI: https://doi.org/10.3390/s19204421

  • Clavería, R.; Méndez, R.; Silva, J.; Orchard, M., "Visual binary stars with partially missing data: Introducing multiple imputation in astrometric analysis," Publications of the Astronomical Society of the Pacific, 131:084502, no. 1002, pp. 1-19, 2019. DOI: https://doi.org/10.1088/1538-3873/ab22e2

  • Quintero, V.; Estevez, C.; Orchard, M.; and Pérez, A., "Improvements of Energy-Efficient Techniques in WSNs: A MAC-Protocol Approach," IEEE Communications Surveys and Tutorials, vol. 21, Issue 2, pp. 1188-1208, 2019. DOI: https://doi.org/10.1109/COMST.2018.2875810 

  • Pizarro-Carmona, V.; Cortés-Carmona, M.; Palma-Behnke, R.; Calderón-Muñoz, W.; Orchard, M.; Estévez, P., "An Optimized Impedance Model for the Estimation of the State-of-Charge  of a Li-Ion Cell: The Case of a LiFePO4 (ANR26650)," Energies , 12(4), 681, 2019. DOI: https://doi.org/10.3390/en12040681

  • Kordestani, M.; Zanj, A.; Orchard, M.; and Saif, M., "A Modular Fault Diagnosis and Prognosis Method for Hydro-control Valve System based on Redundancy in Multi-Sensor Data Information," IEEE Transactions on Reliability, vol. 68, Issue 1, pp. 330-341, 2019. DOI: https://doi.org/10.1109/TR.2018.2864706

  • Sierra, G.; Orchard, M.; Goebel, K.; Kulkarni, C., "Battery Health Management for Small-size Rotary-wing Electric Unmanned Aerial Vehicles: An Efficient Approach for Constrained Computing Platforms," Reliability Engineering and System Safety, vol. 182, pp. 166-178, 2019. DOI: https://doi.org/10.1016/j.ress.2018.04.030

  • Quintero, V.; Perez, A.; Estevez, C.; Orchard, M., "State-of-Charge Estimation to Improve Decision-making by MAC protocols used in WSNs," Electronics Letters , vol. 55, Issue 3, pp. 161-163, 2019. DOI: https://doi.org/10.1049/el.2018.7666

  • Acuña, D.; Orchard, M.; Saona, R., "Conditional Predictive Bayesian Cramer-Rao Lower Bounds for Prognostic Algorithms Design," Applied Soft Computing, vol. 72, pp. 647-665, 2018. DOI: https://doi.org/10.1016/j.asoc.2018.01.033

  • Espinoza, S.; Silva, J.; Mendez, R.; Lobos, R.; Orchard, M., "Optimality of the Maximum Likelihood estimator in Astrometry," Astronomy and Astrophysics, vol. 616, A95, 2018. DOI: https://doi.org/10.1051/0004-6361/201732537

  • Pérez, A.; Quintero, V.; Jaramillo, F.; Rozas, H.; Jimenez, D.; Orchard, M.; Moreno, R., "Characterization of the Degradation Process of Lithium-ion Batteries when Discharged at Different Current Rates," Proceedings of the iMechE, Part I: Journal of Systems and Control Engineering, vol. 232, Issue 8, pp. 1075-1089, 2018. DOI: https://doi.org/10.1177/0959651818774481 

  • Pérez, A.; Benavides, M.; Rozas, H.; Seria, S.; Orchard, M., "Guidelines for the Characterization of the Internal Impedance of Lithium-Ion Batteries in PHM Algorithms," International Journal of Prognostics and Health Management, vol. 9, Issue 1, pp. 1-10, 2018.

  • Jaramillo, F.; Orchard, M.; Muñoz, C.; Zamorano, M.; Antileo, C., "Advanced strategies to improve nitrification process in sequencing batch reactors - A review," Journal of Environmental Management, vol.218, pp. 154-164, 2018. DOI: https://doi.org/10.1016/j.jenvman.2018.04.019  

  • Tobar, F.; Castro, I.; Silva, F.; and Orchard, M., "Improving Battery Voltage Prediction in an Electric Bicycle Using Altitude Measurements and Kernel Adaptive Filters," Pattern Recognition Letters, vol. 105, pp. 200-206, 2018. DOI: https://doi.org/10.1016/j.patrec.2017.09.009

  • Jaras, I.; Orchard, M., "Performance Assessment of Sequential Bayesian Processors based on Probably Approximately Correct Computation and Information Theory," Electronics Letters, vol. 54, Nro. 6, pp. 357-359, 2018. DOI: https://doi.org/10.1049/el.2017.4159

  • Jaramillo, F.; Orchard, M.; Munoz, C.; Antileo, C.; Saez, D.; and Espinoza, P., "On-line estimation of the aerobic phase length for partial nitrification processes in SBR based on features extraction and SVM classification," Chemical Engineering Journal, vol. 331, pp. 114-123, 2018. DOI: https://doi.org/10.1016/j.cej.2017.07.185

  • Mendez, R.; Clavería, R.; Orchard, M.; and Silva, J., "Orbits for eighteen visual binaries and two double-line spectroscopic binaries observed with HRCAM on the CTIO SOAR 4m telescope, using a new Bayesian orbit code based on Monte-Carlo Markov-Chain," The Astronomical Journal, vol. 154, No. 5, 2017. DOI: https://doi.org/10.3847/1538-3881/aa8d6f

  • Barrios, P.; Adams, M.; Leung, K.; Inostroza; F.; Naqvi, G.; and Orchard, M., "Metrics for Evaluating Robotic Feature based Mapping Performance," IEEE Transactions on Robotics, vol. 33, Issue 1, pp. 198-213, 2017. DOI: https://doi.org/10.1109/TRO.2016.2627027

  • Aguila-Camacho, N.; Duarte-Mermoud, M.; Le Roux, J.; and Orchard, M., "Control of a Grinding Mill Circuit using Simple Fractional Order Controllers," Journal of Process Control, vol. 53, pp. 80-94, 2017. DOI: https://doi.org/10.1016/j.jprocont.2017.02.012

  • Torres, B.; Quintero, V.; Estevez, C.; Orchard, M.; Azurdia, C., "SoC Control for Improved Battery Life and Throughput Performance under VST-TDMA," Electronics Letters, vol. 53, Issue 3, pp. 183-185, 2017. DOI: https://doi.org/10.1049/el.2016.3659

  • Acuña, D.; and Orchard, M., "Particle-Filtering-Based Failure Prognosis via Sigma-Points: Application to Lithium-Ion Battery State-of-Charge Monitoring," Mechanical Systems and Signal Processing, vol. 85. pp. 827-848, 2017. DOI: https://doi.org/10.1016/j.ymssp.2016.08.029

  • Ley, C. and Orchard, M., "Chi-squared smoothed adaptive particle-filtering based prognosis," Mechanical Systems and Signal Processing, vol. 82, pp. 148–165, 2017. DOI: https://doi.org/10.1016/j.ymssp.2016.05.015

  • Roje, T.; Marín, L.; Sáez, D.; Orchard, M.; and Jiménez-Estévez, G., "Consumption modeling based on Markov chains and Bayesian networks for a demand side management design of isolated microgrids," International Journal of Energy Research, vol. 41, Issue 3, pp. 365-376, 2017. DOI: https://doi.org/10.1002/er.3607

  • Díaz, M.; Zagal, J.C.; Falcon, C.; Stepanova, M.; Valdivia, J.A.; Martínez-Ledesma, M.; Díaz, J.; Romanova, N.; Pacheco, E.; Milla, M.; Orchard, M.; Silva, J.; Mena, F.P.; and Jaramillo, F., "New opportunities offered by cubesats for space research in Latin America: the SUCHAI project case," Advances in Space Research, vol. 58, Issue 10, pp. 2134–2147, 2016. DOI: https://doi.org/10.1016/j.asr.2016.06.012

  • Echeverría, A.; Silva, J.; Mendez, R.; and Orchard, M., "Analysis of the Bayesian Cramér-Rao lower bound in Astrometry: Studying the impact of prior information in the location of an object," Astronomy and Astrophysics, vol. 594, A111, 2016. DOI: https://doi.org/10.1051/0004-6361/201628220

  • Perez, A.; Moreno, R.; Moreira, R.; Orchard, M.; and Strbac, G., "Effect of Battery Degradation on Multi-Service Portfolios of Energy Storage," IEEE Transactions on Sustainable Energy, vol. 7, Issue 4, pp. 1718-1729, 2016. DOI: https://doi.org/10.1109/TSTE.2016.2589943

  • Mundnich, K. and Orchard, M., "Early online detection of high volatility clusters using Particle Filters," Expert Systems with Applications, 54: 228–240, 2016. DOI: https://doi.org/10.1016/j.eswa.2016.01.052

  • Reyes-Marambio, J.; Moser, F.; Gana, F.; Severino, B.; Calderón-Muñoz, W.; Palma-Behnke, R.; Estevez, P.; Orchard, M.; Cortés, M., "A fractal time thermal model for predicting the surface temperature of air-cooled cylindrical Li-ion cells based on experimental measurements," Journal of Power Sources, 161:349-363, 2016. DOI: https://doi.org/10.1016/j.jpowsour.2015.12.037

  • Burgos, C.; Orchard, M.; Kazerani, M.; Cárdenas, R.; and Sáez, D., "Particle-Filtering-Based Estimation of Maximum Available Power State in Lithium-Ion Batteries," Applied Energy, 161:349-363, 2016. DOI: https://doi.org/10.1016/j.apenergy.2015.09.092

  • Lobos, R.; Silva, J.; Mendez, R.; and Orchard, M., "Performance analysis of the Least-Squares estimator in astrometry," Publications of the Astronomical Society of the Pacific, 127: 1166-1182, Nov. 2015. DOI: https://doi.org/10.1086/683841

  • Pola, D.; Navarrete, H.; Orchard, M.; Rabié, R.; Cerda, M.; Olivares, B.; Silva, J.; Espinoza, P.; and Pérez, A., "Particle-filtering-based Discharge Time Prognosis for Lithium-Ion Batteries with a Statistical Characterization of Use Profiles," IEEE Transactions on Reliability, vol. 64, Issue 2, pp. 710-720, June 2015. DOI: https://doi.org/10.1109/TR.2014.2385069

  • Orchard, M.; Lacalle, M.; Olivares, B.; Silva, J.; Palma, R.; Estévez, P.; Severino, B.; Calderon-Muñoz, W.; and Cortés M., "Information-Theoretic Measures and Sequential Monte Carlo Methods for Detection of Regeneration Phenomena in the Degradation of Lithium-Ion Battery Cells," IEEE Transactions on Reliability, vol. 64, Issue 2, pp. 701-709, June 2015. DOI: https://doi.org/10.1109/TR.2015.2394356

  • Acuña, D.; Orchard, M.; Silva, F.; and Perez A., "Multiple-imputation-particle-filtering for Uncertainty Characterization in Battery State-of-Charge Estimation Problems with Missing Measurement Data: Performance Analysis and Impact on Prognostic Algorithms," International Journal of Prognostics and Health Management, Vol. 6, (008), pp. 1-12, 2015.

  • Burgos, C.; Sáez, D.; Orchard, M.; and Cárdenas, R., "Fuzzy Modelling for the State-of-Charge Estimation of Lead-Acid Batteries," Journal of Power Sources, vol. 274, pp. 355-366, Jan 2015. DOI: https://doi.org/10.1016/j.jpowsour.2014.10.036

  • Moya, J.; Ruiz-del-Solar, J.; Orchard, M.; Parra-Tsunekawa, I., "Fall Detection and Damage Reduction in Biped Humanoid Robots," International Journal of Humanoid Robotics, vol. 12, Issue 1, Jan 2015. DOI: https://doi.org/10.1142/S0219843615500012

  • Severino, B.; Gana, F.; Palma-Behnke, R.; Estévez, P.; Calderón, W.; Orchard, M.; Cortés, M.; Reyes, J., "Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms," Journal of Power Sources, vol. 26, Issue 1, pp. 288-299, December 2014. DOI: https://doi.org/10.1016/j.jpowsour.2014.05.088

  • Zhang, B.; Orchard, M.; Saha, B.; Saxena, A.; Jin, Y.; and Vachtsevanos, G.,  "A Verification Framework with Application to a Propulsion System," Expert Systems with Applications, vol. 41, Issue 13, pp. 5669-5679, October 2014. DOI: https://doi.org/10.1016/j.eswa.2014.03.017

  • Mundnich, K.; Orchard, M.; Silva, J.; Parada, P., "Volatility Estimation of Financial Returns using Risk-Sensitive Particle Filters," Studies in Informatics and Control, Vol. 22, No. 3, pp. 297-306, September 2013. DOI: https://doi.org/10.24846/v22i3y201306

  • Orchard, M. and Hevia-Koch, P., "Risk Measures for Particle-filtering-based State-of-Charge Prognosis in Lithium-Ion Batteries," IEEE Transactions on Industrial Electronics, vol. 60, No. 11, pp.5260-5269, November 2013. DOI: https://doi.org/10.1109/TIE.2012.2224079

  • Olivares, B.; Cerda, M.; Orchard, M.; and Silva, J., “Particle-filtering-based Prognosis Framework for Energy Storage Devices with a Statistical Characterization of State-of-Health Regeneration Phenomena,” IEEE Transactions on Instrumentation & Measurement, vol. 62, Issue 2, pp. 364‑376, February 2013. DOI: https://doi.org/10.1109/TIM.2012.2215142

  • Orchard, M.; Cerda, M.; Olivares, B.; and Silva, J., "Sequential Monte Carlo Methods for Discharge Time Prognosis in Lithium-Ion Batteries," International Journal of Prognostics and Health Management, Vol. 3, Issue 2 (010), pp. 1-12, 2012.

  • Chen, C.; Brown, D.; Sconyers, C.; Zhang, B.; Vachtsevanos, G.; and Orchard, M., “An integrated architecture for fault diagnosis and failure prognosis of complex engineering systems,” Expert Systems with Applications, vol. 39, Issue 10, pp. 9031‑9040, August 2012. DOI: https://doi.org/10.1016/j.eswa.2012.02.050

  • Chen, C.; Vachtsevanos, G.; Orchard, M., "Machine Remaining Useful Life Prediction: an Integrated Adaptive Neuro-Fuzzy and High-Order Particle Filtering Approach," Mechanical Systems and Signal Processing, vol. 28, pp. 597-607, April 2012. DOI: https://doi.org/10.1016/j.ymssp.2011.10.009

  • Tobar, F. and Orchard, M., "Study of Financial Systems Volatility Using Suboptimal Estimation Algorithms," Studies in Informatics and Control, vol. 21, Issue 1, pp. 59‑66, March 2012. DOI: https://doi.org/10.24846/v21i1y201207

  • Chen, C.; Vachtsevanos, G.; Orchard, M., “Machine Condition Prediction Based on Adaptive Neuro-Fuzzy and High-Order Particle Filtering," IEEE Transactions on Industrial Electronics, vol. 58, no. 9, pp. 4353-4364, September 2011. DOI: https://doi.org/10.1109/TIE.2010.2098369

  • Mascaró, M.; Cabello, F.; Parra, S.I.; Vallejos, P.; Guerrero, P.; Ehrenfeld, A.; Acuña, A.; Ruiz del Solar, J.; and Orchard, M., “Instrumentación, Actuación e Implementación de Control Difuso de Bajo Nivel en Vehículo Terrestre Autónomo de Escala Real,” Anales del Instituto de Ingenieros de Chile, Vol. 123, no. 2, pp.53-61, Aug. 2011.

  • Zhang, B.; Sconyers, C.; Byington, C.; Patrick, R.; Orchard, M.; and Vachtsevanos, G., “A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection,” IEEE Transactions on Industrial Electronics, vol. 58, no. 5, pp. 2011-2018, May 2011. DOI: https://doi.org/10.1109/TIE.2010.2058072

  • Orchard, M.; Tang, L.; Saha, B.; Goebel, K.; and Vachtsevanos, G., “Risk-Sensitive Particle-Filtering-based Prognosis Framework for Estimation of Remaining Useful Life in Energy Storage Devices,” Studies in Informatics and Control, vol. 19, Issue 3, pp. 209-218, September 2010. DOI: https://doi.org/10.24846/v19i3y201001

  • Zhang, B.; Khawaja, T.; Patrick, R.; Vachtsevanos, G.; Orchard, M., and Saxena, A., "A Novel Blind Deconvolution De-Noising Scheme in Failure Prognosis," Transactions of the Institute of Measurement and Control, vol. 32, Issue 1, pp. 3-30, February 2010. DOI: https://doi.org/10.1177/0142331209357844 (PDF)

  • Orchard, M.; Tobar, F.; and Vachtsevanos, G., “Outer Feedback Correction Loops in Particle Filtering-based Prognostic Algorithms: Statistical Performance Comparison,” Studies in Informatics and Control, vol. 18, Issue 4, pp. 295-304, December 2009. (PDF)

  • Orchard, M. and Vachtsevanos, G., “A Particle Filtering Approach for On-Line Fault Diagnosis and Failure Prognosis,” Transactions of the Institute of Measurement and Control, vol. 31, no. 3-4, pp. 221-246, June 2009. DOI: https://doi.org/10.1177/0142331208092026 (PDF)

  • Zhang, B.; Khawaja, T.; Patrick, R.; Vachtsevanos, G.; Orchard, M., and Saxena, A., “Application of Blind Deconvolution Denoising in Failure Prognosis,” IEEE Transactions on Instrumentation and Measurement, vol. 58, no. 2, pp. 303-310, February 2009. DOI: https://doi.org/10.1109/TIM.2008.2005963 (PDF)

  • Gonzalez G.D.; Orchard, M.; Cerda J.L.; Casali A.; and Vallebuona, G., “Local models for soft-sensors in a rougher flotation bank," Minerals Engineering, vol. 16, no.5, pp. 441-453, 2003. DOI: https://doi.org/10.1016/S0892-6875(03)00021-9

  • Dixon, J.; del Valle, Y.; Orchard, M.; Ortúzar, M.; Morán, L.; and Maffrand C., “A Full Compensating System for General Loads, Based on a Combination of Thyristor Binary Compensator, and a PWM-IGBT Active Power Filter,” IEEE Transactions on Industrial Electronics, vol. 50, no. 5, pp. 982-989, 2003. DOI: https://doi.org/10.1109/TIE.2003.817604

 

Books and Chapters:

  • Orchard, M., “On-line Fault Diagnosis and Failure Prognosis Using Particle Filters. Theoretical Framework and Case Studies”, Publisher: VDM Verlag Dr. Müller Aktiengesellschaft & Co. KG, Saarbrücken, Germany, April 2009, 108 pages.

  • Orchard, M., Kacprzynski, G., Goebel, K., Saha, B., and Vachtsevanos, G., "Applications of Intelligent Control to Engineering Systems. In Honour of Dr. G. J. Vachtsevanos", Ed. Kimon P. Valavanis; Chapter Title: "Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics", Publisher: Springer, Dordrecht, the Netherlands, June 2009, pp. 23-35

  • Zhang, B., Khawaja, T., Patrick, R., Vachtsevanos, G., Orchard, M., and Saxena, A., "Applications of Intelligent Control to Engineering Systems. In Honour of Dr. G. J. Vachtsevanos", Ed. Kimon P. Valavanis; Chapter Title: "A Novel Blind Deconvolution De-Noising Scheme in Failure Prognosis", Publisher: Springer, Dordrecht, the Netherlands, June 2009, pp. 37-64
  • Orchard, M., Vachtsevanos, G., and Goebel, K., “Machine Learning and Knowledge Discovery for Engineering Systems Health Management”, Ed. Srivastava, A. and Han, J.; Chapter Title: “A Combined Model-Based and Data-Driven Prognostic Approach for Aircraft System Life Management”, Publisher: CRC Press Taylor & Francis Group, United States, 2012, pp. 363-394.
  • Goebel, K., Vachtsevanos, G., and Orchard, M.,“ Integrated Vehicle Management, The Technology”, Ed. Jennions, I.; Chapter Title: “Prognosis”, Publisher: SAE International, United States, 2013, pp. 49-70.
  • Villalpando, P.; Meruane, V.; Boroschek, R.; and Orchard, M.,“ Dynamics of Civil Structures, Volume 2”, Ed. Pakzad, S. & Caicedo, J.; Chapter Title: “Damage Location by Maximum Entropy Method on a Civil Structure”, Publisher: Springer, New York, LCC, 2016, pp. 105-116.
  • Orchard, M. and Acuña, D.,“ Predictive Maintenance in Dynamic Systems”, Ed. Lughofer, E. & Sayed-Mouchaweh, M.; Chapter Title: “On Prognostic Algorithm Design and Fundamental Precision Limits in Long-Term Prediction”, Publisher: Springer, New York, LCC, 2019, pp. 355-380.

 

Awards and Distinctions

  • "Best Engineering and Technology Scientists in Chile (Top 5)." (2024)  Research.com

  • "Among the top 100,000 (top 2%) scientists across all fields". Stanford University, CA, USA (2021) DOI: https://doi.org/10.17632/btchxktzyw.4

  • "Among the top 100,000 (top 2%) scientists across all fields". Stanford University, CA, USA (2020) DOI: https://doi.org/10.17632/btchxktzyw.2#file-dd0904a8-0eba-4cf3-be4a-c6092261fed5

  • "Ramón Salas Edwards" Award to the Best Scientific-Technological Work in the field of Engineering. Chilean Institute of Engineers, Santiago, Chile (2020)

  • PHM Society Fellow (2018)

  • Best Lecturer. Department of Electrical Engineering. Universidad de Chile. (2011-2015, 2017)

  • A SAGE 2010 most downloaded article (2011)

  • Best Paper Award: Annual Conference of the PHM Society 2010 (2010)

  • President of the “Chilean Association of Automatic Control”-ACCA. Chilean NMO of IFAC (2009-2011)

  • "President of the Republic" Scholarship: Graduate Studies Abroad. Ministry of Planning (MIDEPLAN), Santiago, Chile (2003-2006)

  • Fulbright Grant. Graduate Studies. Fulbright-Chile, Santiago, Chile (2003-2005)

  • "Roberto Ovalle Aguirre" Award. Best National Thesis Work. Chilean Institute of Engineers, Santiago, Chile (2002)

  • Best Senior Student. Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile (2001)

  

Presentations at National/International Conferences:

  • Allendes, C.; Beltrán, A.; García Bustos, J.; Troncoso-Kurtovic, D.; Masserano, B.; Brito Schiele, B.; Rivera, V.; Jaramillo, F.; Orchard, M.; Silva, J.; Rozas, H.; Rangarajan, S., "Modeling and Simulation of Thermal Effects on Electrical Behavior in Lithium-Ion Cells," Annual Conference of the Prognostics and Health Management Society 2024 - PHM 2024, November 9th-14th, 2024, Nashville, TN, USA.

  • Acuña-Ureta, D.; Fuentealba-Secul, D.; Orchard, M., "Expected First Occurrence Time of Uncertain Future Events in One-Dimensional Linear Systems," Annual Conference of the Prognostics and Health Management Society 2024 - PHM 2024, November 9th-14th, 2024, Nashville, TN, USA.

  • Wang, X.; Xi, X.; Orchard, M., "A Gamma Process Based Degradation Model with Fractional Gaussian Noise," Annual Conference of the Prognostics and Health Management Society 2024 - PHM 2024, November 9th-14th, 2024, Nashville, TN, USA.

  • Chen, S.; Xi, X.; Maiying Zhong, M.; Orchard, M., "Feature-weighted Random Forest with Boruta for Fault Diagnosis of Satellite Attitude Control Systems," Annual Conference of the Prognostics and Health Management Society 2024 - PHM 2024, November 9th-14th, 2024, Nashville, TN, USA.

  • Ortega, J.; Ramírez, C.; Rojas, T.; Tamssaouet, F.; Orchard, M.; Silva, J., "Unsupervised Fault Detection in a Controlled Conical Tank," Annual Conference of the Prognostics and Health Management Society 2024 - PHM 2024, November 9th-14th, 2024, Nashville, TN, USA.

  • Bate, T.; Orchard, M., "A Flexible Methodology for Uncertainty-Quantified Monitoring of Abrasive Wear in Heavy Machinery Using Neural Networks and Phenomenology-Based Feature Engineering," European Conference of the Prognostics and Health Management Society 2024 - PHME24, July 3-5, 2024, Prague, Czech Republic.

  • García, J.; Brito, B.; Masserano, B., Silva, J.; Orchard, M., "Automated Workstation for Lithium-ion Battery Cycling, Spectroscopy and Custom Profile for Cell Characterization," IEEE Industrial Electronics Society Annual Online Conference - ONCON 2023, December 8-10, 2023.

  • Acuña-Ureta, D.; Orchard, M., "Underlying Probability Measure Approximated by Monte Carlo Simulations in Event Prognostics," Annual Conference of the Prognostics and Health Management Society 2023 - PHM 2023, October 28th - November 2nd, 2023, Salt Lake City, Utah, USA.

  • Salinas-Camus, M.; Kulkarni, C.; Orchard, M., "Battery State-of-Health Aware Path Planning for a Mars Rover," Annual Conference of the Prognostics and Health Management Society 2023 - PHM 2023, October 28th - November 2nd, 2023, Salt Lake City, Utah, USA.

  • Burgos-Mellado, C.; Dragicevic, T.; Llanos, J.; Muñoz-Carpintero, D.; Orchard, M.; Reyes, L.; "AC Battery: Modular Layout with Cell-level Degradation Control," 24th European Conference on Power Electronics and Applications, September 5-9, 2022, Hannover, Germany.

  • Quintero, V.; Estevez, C.; Orchard, M.; Pérez, A.; Yuan Yu, J.; Yu, X.; "A Reliable and Simple Method to Estimate the Electric-Vehicle Battery State-of-Health," 2022 International Conference on Connected Vehicles & Expo, March 7-9, 2022, Florida Polytechnic University, USA.

  • Pérez, A.; Jaramillo, F.; Baeza, C.; Valderrama, M.; Quintero, V.; Orchard, M., "A Particle-Swarm-Optimization-Based Approach for the Characterization of the Battery Pack of an Electric Vehicle when Driven Under Real Conditions," Annual Conference of the Prognostics and Health Management Society 2021 - PHM 2021, November 29th - December 2nd, 2021, Nashville, USA.

  • Rezamand, M.; Kordestani, M.; Orchard, M.; Carriveau, R.; Ting, D.; Saif, M., "Condition Monitoring and Failure prognostic of Wind Turbine Blades," 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), October 17th-20th, 2021, Melbourne, Australia.

  • Tamssaouet, F.; Nguyen, K.; Medjaher, K.; Orchard, M., "Combination of long short-term memory and particle filtering for handling uncertainty in failure prognostic," 31st European Safety and Reliability Conference - ESREL 2021, September 19th-23rd, 2021, Angers, France.

  • Jaramillo, F.; Valderrama, M.; Quintero, V.; Pérez, A.; Orchard, M., "Time-of-Failure Probability Mass Function Computation Using the First-Passage-Time Method Applied to Particle Filter-based Prognostics," Annual Conference of the Prognostics and Health Management Society 2020 - PHM 2020, November 9th-13th, 2020, Nashville, USA.

  • Futalef, J.P.; Muñoz-Carpintero, D.; Rozas, H.; Orchard, M., "An Evolutionary Algorithm for the Electric Vehicle Routing Problem with Battery Degradation and Capacitated Charging Stations," Annual Conference of the Prognostics and Health Management Society 2020 - PHM 2020, November 9th-13th, 2020, Nashville, USA.

  • Benavides, M.; Arias, A.; Cerdas, J.D.; Perez, A.; Orchard, M., "Remaining Useful Life of Lithium-ion Batteries as a Function of the Joule Effect," 2020 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2020), November 2020, Ixtapa, Mexico.

  • Fabry, J.; Carvajal, I.; Rozas, H.; Orchard, M., Tamssaouet, F.; Nguyen, K.; Medjaher, K., "An Integrated Risk-Based Strategy for Real-Time Decision Making and Mission Reconfiguration in Unmanned Aerial Vehicles," Fifth European Conference of the Prognostics and Health Management Society 2020 - PHME 2020, July 27th-31st, 2020, Turin, Italy.

  • Tamssaouet, F.; Nguyen, K.; Medjaher, K.; Orchard, M., "A Contribution to Online System-level Prognostics based on Adaptive Degradation Models," Fifth European Conference of the Prognostics and Health Management Society 2020 - PHME 2020, July 27th-31st, 2020, Turin, Italy.

  • Rozas, H.; Tamssaouet, F.; Jaramillo, F.; Nguyen, K.; Medjaher, K.; Orchard, M., "Comparison of Different Models of Future Operating Condition in Particle-filter-based Prognostic Algorithms," IFAC World Congress 2020, 2020, Berlin, Germany.

  • Perez, A.; Rozas, H.; Jaramillo, F.; Quintero, V.; Orchard, M., "A Simulation Engine for the Characterization of Capacity Degradation Processes in Lithium-ion Batteries Undergoing Heterogeneous Operating Conditions," Annual Conference of the Prognostics and Health Management Society 2019 - PHM19, September 23th-26th, 2019, Scottsdale, AZ, USA.

  • Perez, A.; Marin, L.G.; Fuentes, F.; Mendoza, P.; Jimenez, G.; Orchard, M., "Performance of Photovoltaic Modules After an Accelerated Thermal Cycling Degradation Test," Annual Conference of the Prognostics and Health Management Society 2019 - PHM19, September 23th-26th, 2019, Scottsdale, AZ, USA.

  • Acuña, D.; Orchard, M.; Reyes, C.; Zhang, B., "Theoretical Advances in Lebesgue-sampling-based Prognostic Algorithms," IEEE Prognostics and System Health Management Conference - PHM 2019 Paris, May 2-5, 2019, Paris, France.

  • Tamssaouet, F.; Nguyen, K.; Medjaher, K.; Orchard, M., "Uncertainty Quantification in System-level Prognostics: Application to Tennessee Eastman Process ," 2019 6th International Conference on Control, Decision and Information Technologies (CODIT'19), April 23rd-26th, 2019, Paris, France.

  • Acuña, D.; Orchard, M., "A Theoretically Rigorous Approach to Failure Prognosis," Annual Conference of the Prognostics and Health Management Society 2018 - PHM18, September 24th-27th, 2018, Philadelphia, PA, USA.

  • Sierra, G.; Orchard, M.; Kulkarni, C.; Goebel, K., "A Hybrid Battery Model for Prognostics in Small-size Electric UAVs," Annual Conference of the Prognostics and Health Management Society 2018 - PHM18, September 24th-27th, 2018, Philadelphia, PA, USA.

  • Reyes, C.; Jaramillo, F.; Zhang, B.; Kulkarni, C.; Orchard, M., "Just-in-time Point Prediction Using a Computationally-efficient Lebesgue-sampling-based Prognostic Method," Annual Conference of the Prognostics and Health Management Society 2018 - PHM18, September 24th-27th, 2018, Philadelphia, PA, USA.

  • Quintero, V.; Perez, A.; Jaramillo, F.; Estevez, C.; Orchard, M., "Procedure for Selecting a Transmission Mode Dependent on the State-of-charge and State-of-health of a Lithium-ion Battery in Wireless Sensor Networks with Energy Harvesting Devices," Annual Conference of the Prognostics and Health Management Society 2018 - PHM18, September 24th-27th, 2018, Philadelphia, PA, USA.

  • Rozas, H.; Clavería, R.; Orchard, M.; and Medjaher, K., "Residual-based scheme for detection and characterization of faults in lithium-ion batteries," 10th IFAC Symposium on Fault Detection, Supervision, and Safety for Technical Processes - SAFEPROCESS 2018, August 29th-31st, 2018, Warsaw, Poland.

  • Rozas, H.; Muñoz-Carpintero, D.; Perez, A.; Medjaher, K.; and Orchard, M., "An Approach to Prognosis-Decision-Making for Route Calculation of an Electric Vehicle Considering Stochastic Traffic Information," Fourth European Conference of the Prognostics and Health Management Society 2018 - PHME 2018, July 3rd-6th, 2018, Utrecht, Netherlands.

  • Pérez, A.; Jaramillo, F.; Quintero, V.; and Orchard, M., "Characterizing the Degradation Process of Lithium-ion Batteries Using a Similarity-Based-Modeling Approach," Fourth European Conference of the Prognostics and Health Management Society 2018 - PHME 2018, July 3rd-6th, 2018, Utrecht, Netherlands.

  • Pérez, A.; Quintero, V.; Rozas, H.; Jimenez, D.; Jaramillo, F.; and Orchard, M., "Lithium-Ion Battery Pack Arrays for Lifespan Enhancement," IEEE CHILECON 2017, October 18th-20th, 2017, Pucón, Chile.

  • Seria, S.; Quintero, V.; Espinoza, P.; Pérez, A.; Jaramillo, F.; Benavides, M.; Orchard, M., "Electric Bicycle Energy Management Given an Elevation Traveling Profile," Annual Conference of the Prognostics and Health Management Society 2017 - PHM17, October 2nd-5th, 2017, St. Petersburg, FL, USA.

  • Espinoza, P.; Pérez, A.; Orchard, M.; Navarrete, H.; Pola, D., "A Simulation Engine for Predicting State-of-Charge and State-of-Health in Lithium-Ion Battery Packs of Electric Vehicles," Annual Conference of the Prognostics and Health Management Society 2017 - PHM17, October 2nd-5th, 2017, St. Petersburg, FL, USA.

  • Jaramillo, F.; Quintero, V.; Pérez, A.; Orchard, M., "Spatio-temporal Probabilistic Modeling Based on Gaussian Mixture Models and Neural Gas Theory for Prediction of Criminal Activity," Annual Conference of the Prognostics and Health Management Society 2017 - PHM17, October 2nd-5th, 2017, St. Petersburg, FL, USA.

  • Pérez, A.; Benavides, M.; Rozas, H.; Seria, S.; Orchard, M., "A Practical Guide for the Characterization of Lithium-Ion Battery Internal Impedances in PHM Algorithms," Asia Pacific Conference of the Prognostics and Health Management Society 2017, July 12th-15th, 2017, Jeju Island, South Korea.

  • Acuña, D. and Orchard, M., "Prognostic Algorithms Design based on Predictive Bayesian Cramér-Rao Lower Bounds," 20th IFAC World Congress, July 9th-14th, 2017, Tolouse, France.

  • Baloian, N.; Bassaletti, E.; Fernández, M.; Figueroa, O.; Fuentes, P.; Manasevich, R.; Orchard, M., Peñafiel, S.; Pino, J.; Vergara, M., "Crime Prediction using Patterns and Context," Proceedings of the 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design - CSCWD'17, April 26th-28th, 2017, Wellington, New Zealand.

  • Pérez, A.; Quintero, V.; Rozas, H.; Jaramillo, F.; Moreno, R.; and Orchard, M., "Modelling the Degradation Process of Lithium-Ion Batteries when Operating under Different Levels of State of Charge," 4th International Conference on Control, Decision and Information Technologies - CoDIT'17, April 5th-7th, 2017, Barcelona, Spain.

  • Pola, D.; Guajardo, F.; Jofré, E.; Quintero, V.; Perez, A.; Acuña, D.; and Orchard, M., "Particle-Filtering-Based State-of-Health Estimation and End-of-Life Prognosis for Lithium-Ion Batteries at Operation Temperature," Annual Conference of the Prognostics and Health Management Society 2016 - PHM16, October 3rd-6th, 2016, Denver, CO, USA.

  • Yan, W.; Zhang, B.; and Orchard, M., "Parameters Optimization of Lebesgue Sampling-based Fault Diagnosis and Prognosis with application to Li-ion Batteries," Annual Conference of the Prognostics and Health Management Society 2016 - PHM16, October 3rd-6th, 2016, Denver, CO, USA.

  • Clavería, R.; Acuña, D.; Mendez, R.; Silva, J.; and Orchard, M., "Application of Multiple-imputation-particle-filter for Parameter Estimation of Visual Binary Stars with Incomplete Observations," Annual Conference of the Prognostics and Health Management Society 2016 - PHM16, October 3rd-6th, 2016, Denver, CO, USA.

  • Perez, A.; Orchard, M.; Silva, J.; and Cornejo, F., "Dynamic Vector Model Applied to Wind Speed Prognosis for Eolic Generation," Third European Conference of the Prognostics and Health Management Society 2016 - PHME16, July 5th-8th, 2016, Bilbao, Spain.

  • Boroschek, R.; Villalpando, P.; Orchard, M.; and Meruane, V., "Damage Location by Maximum Entropy Method on a Civil Structure," IMAC-XXXIV Conference & Exposition on Structural Dynamics, January 25th-28th, 2016, Orlando, FL, USA.

  • Flores, P.; Vergara, M.; Fuentes, P.; Jaramillo, F.; Acuña, D.; Perez, A.; and Orchard, M.; , "Modeling and Prediction of Criminal Activity Based on Spatio-Temporal Probabilistic Risk Functions," Annual Conference of the Prognostic and Health Management Society 2015, October 19th-24th, 2015, San Diego, CA, USA.

  • Tampier, C.; Pérez, A.; Jaramillo, F.; Quintero, V.; Orchard, M.; and Silva, J., "Lithium-Ion Battery End-of-Discharge Time Estimation and Prognosis based on Bayesian Algorithms and Outer Feedback Correction Loops: A Comparative Analysis," Annual Conference of the Prognostic and Health Management Society 2015, October 19th-24th, 2015, San Diego, CA, USA.

  • Gonzalez-Prida, V.; Orchard, M.; Martin, C.; Crespo, A.; and Soto, A., "Inequality indices based on the notion of Shannon-Entropy for the assessments of industrial fleets," 10th World Congress on  Engineering Asset Management – WCEAM 2015, September 28th-30th, 2015, Tampere, Finland.

  • Acuña, D.; Orchard, M.; Silva, J.; and Pérez, A., "Multiple-imputation-particle-filtering scheme for Uncertainty Characterization in Battery State-of-Charge Estimation Problems with Missing Measurement Data," Annual Conference of the PHM Society 2014, September 29th - October 2nd, 2014, Fort Worth, TX, USA.

  • Tobar, F.; Orchard, M.; Mandic, D.; and Constantinides, A., "Estimation of financial indices volatility using a model with time-varying parameters," Computational Intelligence for Financial Engineering & Economics (CIFEr), 2104 IEEE Conference on, March 27th-28th 2014, London, U.K.

  • Carricajo, T., Kripper, F., Orchard, M., Yacher, L., Paredes, R., “Anomaly Detection in Gas Turbine Compressor of a Power Generation Plant using Similarity-based Modeling and Multivariate Analysis,” Annual Conference of the PHM Society 2013, October 14-17, 2013, New Orleans, LA, USA.

  • Orchard, M., Lacalle, M., Olivares, B., Cerda, M., and Silva, J., “Information-Theoretic Measures and Sequential Monte Carlo Methods for Detection of Regeneration Phenomena in the Degradation of Energy Storage Devices,” 2013 Prognostics and System Health Management Conference, 8-11 September 2013, Milano, Italy.

  • Orchard, M., Olivares, B., Cerda, M. and Silva, J., “Anomaly Detection Based on Information-Theoretic Measures and Particle Filtering Algorithms,” Annual Conference of the Prognostics and Health Management Society 2012, September 23th‑27th 2012, Minneapolis, MN, USA.

  • Moreno, G., Sáez, D., and Orchard, M., "A New Method for Identification of Fuzzy Models based on Evolutionary Algorithms and its Application to the Modeling of a Wind Turbine," 9th International Conference on Control and Automation - ICCA 2011, December 19th-21th 2011, Santiago, Chile.  

  • Cabello, F., Acuña, A., Vallejos, P., Orchard, M., and Ruiz del Solar, J., "Design and Validation of a Fuzzy Longitudinal Controller Based on a Vehicle Dynamic Simulator," 9th International Conference on Control and Automation - ICCA 2011, December 19th-21th 2011, Santiago, Chile.

  • Orchard, M., Silva, J., and Tang, L., “A Probabilistic Approach for Online Model-based Estimation of SOH/SOC and use profile characterization for Li-Ion Batteries,” Battery Management Workshop, Annual Conference of the Prognostics and Health Management Society 2011, September 25th-29th 2011, Montreal, QB, Canada.

  • Orchard, M., Tang, L. and Vachtsevanos, G., “A Combined Anomaly Detection and Failure Prognosis Approach for Estimation of Remaining Useful Life in Energy Storage Devices,” Annual Conference of the Prognostics and Health Management Society 2011, September 25th-29th 2011, Montreal, QB, Canada.

  • Tobar, F., Yacher, L., Paredes, R. and Orchard, M., "Anomaly Detection in Power Generation Plants using Similarity-based Modeling and Multivariate Analysis," 2011 American Control Conference - ACC2011, June 29-July 1 2011, San Francisco, CA, USA.

  • Tang, L and Orchard, M., Goebel, K., and Vachtsevanos, G., "Novel Metrics and Methodologies for the Verification and Validation of Prognostic Algorithms," 2011 IEEE Aerospace Conference, March 5-12, 2011, Big Sky, Montana, USA.

  • Edwards, D., Orchard, M., Tang, L., Goebel, K., and Vachtsevanos, G., “Impact of Input Uncertainty on Failure Prognostic Algorithms: Extending the Remaining Useful Life of Nonlinear Systems,” Annual Conference of the Prognostics and Health Management Society 2010, October 10th-14th 2010, Portland, OR, USA. (Best Paper Award)

  • Chen, C., Brown, D., Sconyers, C., Vachtsevanos, G., Zhang, B., and Orchard, M., “A .NET Framework for an Integrated Fault Diagnosis and Failure Prognosis Architecture,” IEEE AUTOTESTCON 2010, September 13th‑16th 2010, Orlando, FL, USA.

  • Tobar, F., and Orchard, M., “Study of Financial Systems Volatilty Using Suboptimal Algorithms,” XIV Congreso Latinoamericano de Control Automático, August 24th-27th 2010, Santiago, Chile.

  • Acuña, A., and Orchard, M., “Diagnóstico de Fallas en Válvulas de Flujo en Simulador de Planta Evaporadora de dos Etapas,” XIV Congreso Latinoamericano de Control Automático, August 24th-27th 2010, Santiago, Chile.

  • Zhang, B., Sconyers, C., Orchard, M., Patrick, R., and Vachtsevanos, G., “Fault Progression Modeling: An Application to Bearing Diagnosis and Prognosis,” 2010 American Control Conference–ACC2010, June 30th-July 2nd 2010, Baltimore, MD, USA.

  • Orchard, M., Tang, L., Goebel, K., and Vachtsevanos, G., “A Novel RSPF Approach to Prediction of High-Risk, Low-Probability Failure Events,” First Annual Conference of the Prognostics and Health Management Society, 2009, San Diego, CA, USA. (pdf)

  • Brown, D., Georgoulas, G., Bole, B., Pei, H-L, Orchard, M., Tang, L., Saha, B., Abhinav Saxena, A., Goebel, K., and Vachtsevanos, G., “Prognostics Enhanced Reconfigurable Control of Electro-Mechanical Actuators,” First Annual Conference of the Prognostics and Health Management Society, 2009, San Diego, CA, USA.

  • Orchard, M., Kacprzynski, G., Goebel, K., Saha, B., and Vachtsevanos, G., “Advances in Uncertainty Representation and Management for Particle Filtering Applied to Prognostics,” 1st International Conference on Prognostics and Health Management – PHM08, October 6-9, Denver, CO, USA.

  • Zhang, B., Sconyers, C., Byington, C., Patrick, R., Orchard, M., and Vachtsevanos, G., “Anomaly detection: A robust approach to detection of unanticipated faults,” 1st International Conference on Prognostics and Health Management – PHM08, Denver, CO, USA, October 6-9, 2008.

  • Zhang, B., Georgoulas, G., Orchard, M., Saxena, A., Brown, D., Vachtsevanos, G., and Liang, S., “Rolling Element Bearing Feature Extraction and Anomaly Detection Based on Vibration Monitoring,” 16th Mediterranean Conference on Control and Automation – MED’08, June 25-27, 2008, Congress Centre, Ajaccio, Corsica, France.

  • Tang, L., Kacprzynski, G., Goebel, K., Reimann, J., Orchard, M., Saxena, A., and Saha, B., “Prognostics in the Control Loop,” Proceedings of the 2007 AAAI Fall Symposium on Artificial Intelligence for Prognostics, November 9-11, 2007, Arlington, VA.

  • Patrick R., Orchard, M., Zhang, B., Koelemay, M., Kacprzynski, G., Ferri, A., Vachtsevanos, G., “An Integrated Approach to Helicopter Planetary Gear Fault Diagnosis and Failure Prognosis,” 42nd annual Systems Readiness Technology Conference, AUTOTESTCON 2007, Baltimore, USA, Sept. 2007.

  • Zhang, B., Khawaja, T., Patrick R., Vachtsevanos, G., Orchard, M., Saxena, A., “Use of Blind Deconvolution De-Noising Scheme in Failure Prognosis,” 42nd annual Systems Readiness Technology Conference, AUTOTESTCON 2007, Baltimore, USA, Sept. 2007.

  • Orchard, M., and Vachtsevanos, G., “A Particle Filtering-based Framework for Real-time Fault Diagnosis and Failure Prognosis in a Turbine Engine,” 15th Mediterranean Conference on Control and Automation – MED’07, Athens, Greece, 2007.

  • Abbas, M., Ferri, A., Orchard, M., Vachtsevanos, G., “An Intelligent Diagnostic/Prognostic Framework for Automotive Electrical System,” 2007 IEEE Intelligent Vehicles Symposium-IV'07, Istanbul, Turkey, June 13-15, 2007.

  • Tang, L., Saxena, A., Orchard, M., Kacprzynski, G., Vachtsevanos, G., and Patterson-Hine, A., “Simulation-based Design and Validation of Automated Contingency Management for Propulsion Systems,” IEEE Aerospace Conference 2007. Big Sky, Montana, March 03-10, 2007.

  • Saxena, A., Orchard, M., Zhang, B., Vachtsevanos, G., Tang, L., Lee, Y., and Wardi, Y., “Automated Contingency Management for Propulsion Systems,” Proceedings of the 2007 European Control Conference ECC2007 Kos, Greece, July 2- 5, 2007.

  • Orchard, M., Wu, B., and Vachtsevanos, G., “A Particle Filter Framework for Failure Prognosis,” Proceedings of WTC2005 World Tribology Congress III. Washington D.C., USA, Sept. 12-16, 2005.

  • Yacher, L., and Orchard, M., “Statistical Multivariate Analysis and Dynamics Monitoring for Plant Supervision Improvement,” Copper International Conference 2003. Nov. 2003, Santiago, Chile.

  • Romero F. and Orchard M. “Statistical Multivariable Analysis for Improved Plant Control”. 2003 SME Annual Meeting & Exhibit, Cincinnati, Ohio, USA, Feb. 2003.

  • Del Valle, Orchard, Dixon, Morán. “Control system for a Thyristor Binary Compensator (TBC)”. XV Congreso Chileno de Control Automático, ACCA 2002. Santiago, Chile, 2002.

  • Alexei Lisounkin, Gerhard Schreck, Jonas Paiuk, Franco Muratori, Mariana Viale, Andrés Vigliocco, Aldo Z. Cipriano, Marcos C. Orchard, Benjamin Kuchen, Andrés Lage, Francisco Rossomando, Hans-Werner Schmidt, Ramón Galán, Agustin Jimenez. “Advanced Model Based Process Supervision in Hot Steel Milling”. 15th Triennial World Congress of the International Federation of Automatic Control (IFAC), 21st - 26th July, 2002, Barcelona, Spain.

  • Marcos Orchard, Carlos Muñoz, Aldo Cipriano. "Predictive Control with Fuzzy Characterization of Percentage of solids, particle size and power demand for grinding sections".  Congreso CCA/ISIC 2001. Mexico City, Sept. 5-7, 2001

  • Marcos Orchard C., A. Flores, C. Muñoz, A. Cipriano. “Model-based predictive control with fuzzy characterization of goals and constraints, applied to the dynamic optimization of grinding plants”. FUZZ-IEEE 2001. Melbourne, Australia. Dec. 2001.

  • Marcos Orchard C., Aldo Cipriano M., Aldo Cipriano Z., Mariana Viale, Andrés Vigliocco. “A model based fault detection and diagnosis system for rolling mill equipments”. European Control Conference. Faculdade de Engenharia da Universidade do Porto. Instituto de Sistemas e  Robótica. Porto, Portugal. Sept. 2001.

  • Juan Dixon, Yamille del Valle, Marcos Orchard, Micah Ortúzar, Luis Morán, Carlos Maffrand. “A Full Compensating System for General Loads, Based on a Combination of Thyristor Binary Compensator, and a PWM-IGBT Active Power Filter”. Industrial Electronics Conference IECON'01. Denver, Colorado, U.S.A. Noviembre 29 a Dec. 2, 2001

  • Marcos Orchard C., Aldo Cipriano M., Aldo Cipriano Z., Mariana Viale, Andrés Vigliocco. “Design of a model based fault detection and diagnosis system for rolling mill equipments”. XIV Congreso Chileno de Control Automático. Universidad del Bío Bío, Concepción, Chile. Oct. 2000.

  • Dixon, Del Valle, Orchard, Maffrand, Morán. “Nueva Topología para un Compensador de Reactivos Libre de Armónicos Usando Válvulas Unidireccionales”. XIII Congreso de Ingeniería Eléctrica. Universidad de Santiago de Chile. Nov. 1999.

 

Dissemination and Transfer

  • Keynote Speaker, Congreso Nacional de Control Automático 2021, 13-15 October 2021, Guanajuato, México.

  • Plenary Speaker, 2013 Prognostics and System Health Management Conference, 8-11 September 2013, Milano, Italy.

  • Guest Editor, Studies in Informatics and Control (2011).

  • Program Chair, IEEE 9th International Conference on Control and Automation - ICCA 2011

  • Orchard. M., “Anomaly Detection and Remaining Useful Life Prediction of Equipment based on Data Mining and Probabilistic Models”. X Encuentro de Gestión de Activos Físicos, Pontificia Universidad Católica de Chile, Santiago, Chile, June 2011.

  • Conference Chair, XIV Latin American Congress of Automatic Control, August 2010.

  • Orchard, M., “VI Escuela de Verano Latinoamericana en Inteligencia Computacional” and “III Escuela de Verano Latinoamericana en Robótica” EVIC 2009 (15th -18th December 2009, Santiago, Chile). Keynote Speaker “Data Mining and Virtual Sensors: Application to Anomaly Detection and Failure Prognosis”.

  • Orchard, M., “XVIII Congreso de la Asociación Chilena de Control Automático” ACCA 2008 (10th -12th December 2008, Santiago, Chile). Keynote Speaker “Fault Diagnosis for Reconfigurable Control”.

  • Yacher L. and Orchard M., “Pattern analysis for process deviations early alert and cause-effect relationships evaluation”. 2003 OSISoft Users Conference. San Francisco, California, USA, May 2003.