A full compensating system for general loads, based on a combination of thyristor binary compensator, and a PWM-IGBT active power filter. - Juan W. Dixon; Yamille del Valle; Marcos E. Orchard; Micah Ortuzar; Luis Morán 001; Carlos Maffrand (IEEE Trans. Ind. Electron., 2003)

Prognostics in the Control Loop. - Liang Tang; Gregory J. Kacprzynski; Kai Goebel; Johan Reimann; Marcos E. Orchard; Abhinav Saxena; Bhaskar Saha (AAAI Fall Symposium: Artificial Intelligence for Prognostics, 2007)

A Particle Filtering Approach for On-Line Failure Prognosis in a Planetary Carrier Plate. - Marcos E. Orchard; George J. Vachtsevanos (Int. J. Fuzzy Log. Intell. Syst., 2007)

A Particle Filtering-based Framework for On-line Fault Diagnosis and Failure Prognosis. - Marcos Eduardo Orchard (2007)

Application of Blind Deconvolution Denoising in Failure Prognosis. - Bin Zhang 008; Taimoor Khawaja; Romano Patrick; George J. Vachtsevanos; Marcos E. Orchard; Abhinav Saxena (IEEE Trans. Instrum. Meas., 2009)

Fault progression modeling: An application to bearing diagnosis and prognosis. - Bin Zhang 008; Chris Sconyers; Marcos E. Orchard; Romano Patrick; George J. Vachtsevanos (ACC, 2010)

Anomaly detection in power generation plants using similarity-based modeling and multivariate analysis. - Felipe A. Tobar; Luis Yacher; Rodrigo Paredes; Marcos E. Orchard (ACC, 2011)

Design and validation of a fuzzy longitudinal controller based on a vehicle dynamic simulator. - Felipe Cabello; Alexis Acuna; Paul A. Vallejos; Marcos E. Orchard; Javier Ruiz-del-Solar (ICCA, 2011)

A new method for identification of fuzzy models based on evolutionary algorithms and its application to the modeling of a wind turbine. - Gabriel Moreno; Doris Sáez; Marcos E. Orchard (ICCA, 2011)

Welcome message. - Youyi Wang; Manuel Duarte-Mermoud; Hai Lin; Marcos E. Orchard (ICCA, 2011)

A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection. - Bin Zhang 008; Chris Sconyers; Carl S. Byington; Romano Patrick; Marcos E. Orchard; George J. Vachtsevanos (IEEE Trans. Ind. Electron., 2011)

Machine Condition Prediction Based on Adaptive Neuro-Fuzzy and High-Order Particle Filtering. - Chaochao Chen 003; Bin Zhang 008; George J. Vachtsevanos; Marcos E. Orchard (IEEE Trans. Ind. Electron., 2011)

An integrated architecture for fault diagnosis and failure prognosis of complex engineering systems. - Chaochao Chen 003; Douglas W. Brown; Chris Sconyers; Bin Zhang 008; George J. Vachtsevanos; Marcos E. Orchard (Expert Syst. Appl., 2012)

Improving throughput performance under an energy efficient multiplexing access scheme using time-of-failure prognosis. - Claudio Estevez; Marcos E. Orchard; Aravind Kailas (BODYNETS, 2013)

Risk Measures for Particle-Filtering-Based State-of-Charge Prognosis in Lithium-Ion Batteries. - Marcos E. Orchard; Pablo Hevia-Koch; Bin Zhang 008; Liang Tang (IEEE Trans. Ind. Electron., 2013)

Particle-Filtering-Based Prognosis Framework for Energy Storage Devices With a Statistical Characterization of State-of-Health Regeneration Phenomena. - Benjamín E. Olivares; Matías A. Cerda Munoz; Marcos E. Orchard; Jorge F. Silva (IEEE Trans. Instrum. Meas., 2013)

Estimation of financial indices volatility using a model with time-varying parameters. - Felipe A. Tobar; Marcos E. Orchard; Danilo P. Mandic; Anthony G. Constantinides (CIFEr, 2014)

A verification framework with application to a propulsion system. - Bin Zhang 008; Marcos E. Orchard; Bhaskar Saha; Abhinav Saxena; Young Jin Lee; George J. Vachtsevanos (Expert Syst. Appl., 2014)

Fall Detection and Damage Reduction in Biped Humanoid Robots. - Javier Moya; Javier Ruiz-del-Solar; Marcos E. Orchard; Isao Parra-Tsunekawa (Int. J. Humanoid Robotics, 2015)

Information-Theoretic Measures and Sequential Monte Carlo Methods for Detection of Regeneration Phenomena in the Degradation of Lithium-Ion Battery Cells. - Marcos E. Orchard; Matias S. Lacalle; Benjamín E. Olivares; Jorge F. Silva; Rodrigo Palma-Behnke; Pablo A. Estévez; Bernardo Severino; Williams Calderon-Munoz; Marcelo Cortes-Carmona (IEEE Trans. Reliab., 2015)

Particle-Filtering-Based Discharge Time Prognosis for Lithium-Ion Batteries With a Statistical Characterization of Use Profiles. - Daniel A. Pola; Hugo F. Navarrete; Marcos E. Orchard; Ricardo S. Rabie; Matías A. Cerda Munoz; Benjamín E. Olivares; Jorge F. Silva; Pablo A. Espinoza; Aramis Pérez (IEEE Trans. Reliab., 2015)

Analysis of the Bayesian Cramér-Rao in astrometry. - Alex Echeverria; Jorge F. Silva; R. A. Mendez; Marcos E. Orchard (SAM, 2016)

Early online detection of high volatility clusters using Particle Filters. - Karel Mundnich; Marcos E. Orchard (Expert Syst. Appl., 2016)

Modelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing ranges. - Aramis Pérez; Vanessa Quintero; Heraldo Rozas; Francisco Jaramillo; Rodrigo Moreno; Marcos E. Orchard (CoDIT, 2017)

Crime prediction using patterns and context. - Nelson Baloian; Enrique Bassaletti; Mario Fernández; Óscar Figueroa; Pablo Fuentes 002; Raúl Manásevich; Marcos E. Orchard; Sergio Peñafiel; José A. Pino; Mario Vergara (CSCWD, 2017)

State-of-charge estimation to improve energy conservation and extend battery life of wireless sensor network nodes. - Vanessa Quintero; Claudio Estevez; Marcos E. Orchard (ICUFN, 2017)

Metrics for Evaluating Feature-Based Mapping Performance. - Pablo Barrios; Martin Adams; Keith Yu Kit Leung; Felipe Inostroza; Ghayur Naqvi; Marcos E. Orchard (IEEE Trans. Robotics, 2017)

Conditional predictive Bayesian Cramér-Rao Lower Bounds for prognostic algorithms design. - David Acuna; Marcos E. Orchard; Raimundo Saona (Appl. Soft Comput., 2018)

Characterization of the degradation process of lithium-ion batteries when discharged at different current rates. - Aramis Pérez; Vanessa Quintero; Francisco Jaramillo; Heraldo Rozas; Diego Jiménez; Marcos E. Orchard; Rodrigo Moreno (J. Syst. Control. Eng., 2018)

Improving battery voltage prediction in an electric bicycle using altitude measurements and kernel adaptive filters. - Felipe A. Tobar; Iván Castro; Jorge F. Silva; Marcos E. Orchard (Pattern Recognit. Lett., 2018)

Uncertainty Quantification in System-level Prognostics: Application to Tennessee Eastman Process. - Ferhat Tamssaouet; Thi Phuong Khanh Nguyen; Kamal Medjaher; Marcos E. Orchard (CoDIT, 2019)

Improvements of Energy-Efficient Techniques in WSNs: A MAC-Protocol Approach. - Vanessa Quintero; Claudio Estevez; Marcos E. Orchard; Aramis Pérez (IEEE Commun. Surv. Tutorials, 2019)

Battery health management for small-size rotary-wing electric unmanned aerial vehicles: An efficient approach for constrained computing platforms. - Gina Sierra; Marcos E. Orchard; Kai Goebel; Chetan S. Kulkarni (Reliab. Eng. Syst. Saf., 2019)

Harvest Stage Recognition and Potential Fruit Damage Indicator for Berries Based on Hidden Markov Models and the Viterbi Algorithm. - Marcos E. Orchard; Carlos Muñoz Poblete; Juan Ignacio Huircan; Patricio Galeas; Heraldo Rozas (Sensors, 2019)

A Modular Fault Diagnosis and Prognosis Method for Hydro-Control Valve System Based on Redundancy in Multisensor Data Information. - Mojtaba Kordestani; Amir Zanj; Marcos E. Orchard; Mehrdad Saif (IEEE Trans. Reliab., 2019)

Fractional order controllers for throughput and product quality control in a grinding mill circuit. - Norelys Aguila-Camacho; Manuel A. Duarte-Mermoud; Marcos E. Orchard (Eur. J. Control, 2020)

Critical Wind Turbine Components Prognostics: A Comprehensive Review. - Milad Rezamand; Mojtaba Kordestani; Rupp Carriveau; David S. K. Ting; Marcos E. Orchard; Mehrdad Saif (IEEE Trans. Instrum. Meas., 2020)

Particle-Filtering-Based Prognostics for the State of Maximum Power Available in Lithium-Ion Batteries at Electromobility Applications. - César Díaz; Vanessa Quintero; Aramis Pérez; Francisco Jaramillo; Claudio Burgos-Mellado; Heraldo Rozas; Marcos E. Orchard; Doris Sáez; Roberto Cárdenas (IEEE Trans. Veh. Technol., 2020)

Condition Monitoring and Failure prognostic of Wind Turbine Blades. - Milad Rezamand; Mojtaba Kordestani; Marcos E. Orchard; Rupp Carriveau; David S. K. Ting; Mehrdad Saif (SMC, 2021)

Multi-Objective Finite-Time Control for the Interlinking Converter on Hybrid AC/DC Microgrids. - Manuel Martínez-Gómez; Alex Navas Fonseca; Marcos E. Orchard; Serhiy Bozhko; Claudio Burgos-Mellado; Roberto Cárdenas (IEEE Access, 2021)

Solving in real-time the dynamic and stochastic shortest path problem for electric vehicles by a prognostic decision making strategy. - Heraldo Rozas; Diego Muñoz-Carpintero; Doris Sáez; Marcos E. Orchard (Expert Syst. Appl., 2021)

Degradation Modeling and Uncertainty Quantification for System-Level Prognostics. - Ferhat Tamssaouet; Khanh T. P. Nguyen; Kamal Medjaher; Marcos E. Orchard (IEEE Syst. J., 2021)

Improved Remaining Useful Life Estimation of Wind Turbine Drivetrain Bearings Under Varying Operating Conditions. - Milad Rezamand; Mojtaba Kordestani; Marcos E. Orchard; Rupp Carriveau; David S. K. Ting; Mehrdad Saif (IEEE Trans. Ind. Informatics, 2021)

Failure Prognosis and Applications - A Survey of Recent Literature. - Mojtaba Kordestani; Mehrdad Saif; Marcos E. Orchard; Roozbeh Razavi-Far; Khashayar Khorasani (IEEE Trans. Reliab., 2021)

A Reliable and Simple Method to Estimate the Electric-Vehicle Battery State-of-Health. - Vanessa Quintero; Claudio Estevez; Marcos E. Orchard; Aramis Pérez; Jia Yuan Yu; Xiang Yu (ICCVE, 2022)

Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection With Mutual Information Estimation. - Mauricio E. Gonzalez; Jorge F. Silva; Miguel Videla; Marcos E. Orchard (IEEE Trans. Signal Process., 2022)

An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies. - Mojtaba Kordestani; Marcos E. Orchard; Khashayar Khorasani; Mehrdad Saif (IEEE Trans. Instrum. Meas., 2023)

An online decision-making strategy for routing of electric vehicle fleets. - Juan-Pablo Futalef; Diego Muñoz-Carpintero; Heraldo Rozas; Marcos E. Orchard (Inf. Sci., 2023)

GNSS-Based Estimation of Average Instantaneous Power Consumption in Electric Vehicles. - Javier A. Torres Bustos; Marcos E. Orchard; Miguel Torres-Torriti; Fernando Alfredo Auat Cheeín (IEEE Trans. Ind. Electron., 2023)

Dynamic Average Consensus With Anti-Windup Applied to Interlinking Converters in AC/DC Microgrids Under Economic Dispatch and Delays. - Manuel Martínez-Gómez; Marcos E. Orchard; Serhiy Bozhko (IEEE Trans. Smart Grid, 2023)

Fault Detection and Monitoring using an Information-Driven Strategy: Method, Theory, and Application. - Camilo Ramírez; Jorge F. Silva; Ferhat Tamssaouet; Tomás Rojas; Marcos E. Orchard (CoRR, 2024)

Exploring the benefits of images with frequency visual content in predicting human ocular scanpaths using Artificial Neural Networks. - Camilo Jara Do Nascimento; Marcos E. Orchard; Christ Devia (Expert Syst. Appl., 2024)

Autonomous Sensor System for Low-Capacity Wind Turbine Blade Vibration Measurement. - Diego Muxica; Sebastian Rivera; Marcos E. Orchard; Constanza Ahumada; Francisco Jaramillo; Felipe Bravo; José M. Gutiérrez; Rodrigo Astroza (Sensors, 2024)

A novel data-driven framework for driving range prognostics in electric vehicles. - Jorge E. García Bustos; Cesar Baeza; Benjamín Brito Schiele; Violeta Rivera; Bruno Masserano; Marcos E. Orchard; Claudio Burgos-Mellado; Aramis Pérez (Eng. Appl. Artif. Intell., 2025)

FWRF: Mitigating Redundant Features in Fault Diagnosis via Feature Weighted Random Forest. - Shaozhi Chen; Rui Yang 007; Maiying Zhong; Xiaopeng Xi; Marcos E. Orchard (IEEE Trans. Instrum. Meas., 2025)