Conference Articles

  • 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.; Tagle, N., “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.

  • 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.

  • 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.

  • 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.

  • 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.