Marcos Eduardo Orchard Concha (Ph.D.)

e-mail: morchard@ing.uchile.cl

Associate Professor

Department of Electrical Engineering

Faculty of Physical and Mathematical Sciences

Universidad de Chile, Santiago, Chile

 

Associate Researcher

Advanced Mining Technology Center

Faculty of Physical and Mathematical Sciences

Universidad de Chile, Santiago, Chile

Associate Researcher

Advanced Center for Electrical and Electronic Engineering

Universidad Técnica Federico Santa María, Chile

 

Associate Editor

International Journal of Prognostic and Health Management

PHM Society

 

Past-President

Chilean Association of Automatic Control (ACCA)

Chilean NMO of IFAC

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Dr. Marcos E. Orchard is Associate Professor with the Department of Electrical Engineering at Universidad de Chile, Associate Researcher at the Advanced Mining Technology Center, Associate Researcher at the Advanced Center for Electrical and Electronic Engineering, and Project Leader at the Lithium Innovation Center. His current research interest is the design, implementation and testing of real-time frameworks for fault diagnosis and failure prognosis, with applications to battery management systems, mining industry, and finance. 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 the study of uncertainty representation and management in FDI/prognosis frameworks using sequential Monte Carlo methods (particle filters) in nonlinear, time-varying, and non-Gaussian systems. More information may be found in my publications.

  • Fault Diagnosis and Failure Prognosis in Nonlinear Dynamic Systems: Particle-filtering-based RUL estimation

  • State Estimation in Non-Gaussian Dynamic Systems

  • Automated Contingency Management Systems (Reconfigurable Control Systems)

 

Research Experience

  • 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).

  • FONDECYT Project 1170044: “Prognostics Performance Metrics based on Bayesian Cràmer-Rao Lower Bounds.” 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 Cárdenas (U.Ch.), Doris Sáez (U.Ch.) and Marcos Orchard (U.Ch.). AC3E UTFSM-University of Waterloo (2016-2017).

  • 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).

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

  • FONDECYT Project 1151476: "Cubesat Platform for Space and Technology Research". PI: Marcos Diaz (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: René Mendez (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 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 Gonzalez (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)

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

    EL42D "Control de Sistemas" (Control Systems)

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

    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:

  • 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

  • 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.

  • 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.

  • 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.

  • Ley, C. and Orchard, M., "Chi-squared smoothed adaptive particle-filtering based prognosis," Mechanical Systems and Signal Processing, vol. 82, pp. 148–165, 2017.

  • 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.

  • 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.

  • 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.

  • 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, DOI: 10.1002/er.3607, 2016.

  • Mundnich, K. and Orchard, M., "Early online detection of high volatility clusters using Particle Filters", Expert Systems with Applications, 54: 228–240, 2016.

  • 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.

  • 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.

  • 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.

  • 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. 710-720, June 2015.

  • 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. 701-709, June 2015.

  • 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.

  • 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.

  • 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. 

  • 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.

  • 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.

  • 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.

  • 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.
  • 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. (pdf)

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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. (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.

  • 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. (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. (pdf)

  • Orchard, M., and Vachtsevanos, G., “A Particle Filtering Approach for On-Line Failure Prognosis in a Planetary Carrier Plate,” International Journal of Fuzzy Logic and Intelligent Systems, vol. 7, no. 4, pp. 221-227, 2007.

  • 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.

  • 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.

 

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.

 

Awards and Distinctions

2011-2015    Best Lecturer. Department of Electrical Engineering. Universidad de Chile.

2011             A SAGE 2010 most downloaded article.

2010             Best Paper Award: Annual Conference of the PHM Society 2010.

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

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

2003-2005   Fulbright Grant. Graduate Studies. Fulbright-Chile, Santiago, Chile.

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

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

 

Presentations at National/International Conferences:

  • 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.

  • 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

  • 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.