Marcos Orchard
Ph.D. Georgia I. of Techology, USA.
Profesor Titular Detección de Fallas y Predicción de Eventos Catastróficos
morchard@u.uchile.cl
https://www.researchgate.net/profile/Marcos-Orchard
https://scholar.google.com/citations?user=1SHHThYAAAAJ&hl=es
- Investigadores: V. Meruane / M. Orchard, H. Rozas
- Código: 1250125
- Inicio: 01/03/2025
- Fin: 01/03/2029
- Programa: Fondecyt_Anid
Mutual Information for Representation Learning and Model Drift Detection: Theory, Methods and Applications
- Investigadores: J. Silva / M. Orchard, F. Bravo
- Código: 1250098
- Inicio: 01/03/2025
- Fin: 01/03/2029
- Programa: Fondecyt_Anid
Multimodal Context-aware Prognostic Methods for Informed Real-time Decision-making in Dynamic Systems
- Investigadores: M. Orchard / J. Silva
- Código: 1250036
- Inicio: 01/03/2025
- Fin: 01/03/2029
- Programa: Fondecyt_Anid
AI based battery state-of-health-aware management operating system for micro e-mobility, e-fleet mission planning and energy back-up
- Investigadores: H. Rozas, M. Orchard, J. Silva
- Código: TA24I10053
- Inicio: 01/07/2024
- Fin: 01/07/2028
- Programa: Subdirección de Investigación Aplicada
Fortalecimiento de la capacidad científica y tecnológica en aerodinámica en la macro zona sur
- Investigadores: M. Orchard
- Código: EQM240006
- Inicio: 01/10/2024
- Fin: 01/04/2027
- Programa: FONDEQUIP
Desarrollo de la Electromovilidad en la Región de O’Higgins: Modelamiento, Gestión y Control
- Investigadores: M. Orchard
- Código: FOVI230254
- Inicio: 01/01/2024
- Fin: 01/01/2024
- Programa: Subdirección de Redes, Estrategia y Conocimiento (REC)
Sistema integrado de monitoreo predictivo electro-mecanico y estructural para aerogeneradores
- Investigadores: M. Orchard
- Código: TA23I10055
- Inicio: 01/09/2023
- Fin: 01/09/2027
- Programa: Subdirección de Investigación Aplicada
Competitive Off-grid Photovoltaic Green Hydrogen production based on the Versatile Buck-Boost Power Electronics Building Block
- Investigadores: M. Orchard
- Código: 1231015
- Inicio: 01/03/2023
- Fin: 01/03/2027
- Programa: Fondecyt_Anid
Distributed Predictive Control Strategies based on Evolving Prediction Intervals for Energy-Water Microgrids
- Investigadores: D. Sáez / D. Daniele, C. Ahumada, M. Orchard
- Código: 1220507
- Inicio: 01/04/2022
- Fin: 01/04/2026
- Programa: Fondecyt_Anid
Topics on Information Theory Applied to Machine Learning and Decision: Theory, Methods, and Applications
- Investigadores: J. Silva / M. Orchard
- Código: 1210315
- Inicio: 01/03/2021
- Fin: 01/03/2025
- Programa: Fondecyt_Anid
A Hidden-Markov-Model-based Failure Prognostic Framework for Real-time Prognostic Decision Making
- Investigadores: M. Orchard / D. Sáez, J. Silva
- Código: 1210031
- Inicio: 01/03/2021
- Fin: 01/03/2025
- Programa: Fondecyt_Anid
| Autores | Título | Año |
| Gatica Oyarzún, Nicolás Daniel | Metodologías de división de datos selectiva mediante optimización para modelos de aprendizaje de máquinas | 2024 |
| Brito Schiele, Benjamín Andrés | Health inference and diagnostic architecture based on bayesian filtering and maximum likelihood estimation for electromobility and structural engineering | 2024 |
| González Holtheuer, Werner Ignacio | Detection and mitigation of false data injection attacks in an AC microgrid under a digital twin based approach | 2024 |
| Cádiz Sejas, José Luis | Estabilización de la operación de molino SAG mediante modelo prescriptivo utilizando técnicas de aprendizaje reforzado profundo fuera de línea | 2024 |
| Meneses Zambeat, Camilo Ignacio | Redes neuronales artificiales para predecir movimientos oculares humanos | 2024 |
| Jara González, Ricardo Esteban Israel | Predicción de eventos clínicos adversos a partir de datos estáticos y dinámicos del paciente en el servicio de urgencias para COVID-19 | 2024 |
| Espinoza Oyanedel, Kevin Racso | Diseño eficiente de algoritmos de pronóstico en tiempo real en base a optimización de tiempos de actualización | 2024 |
| Molina Bustos, Samuel Esteban | Sistema de identificación del tipo de cáncer basado en aprendizaje de máquinas | 2024 |
| Zurita Tapia, Ignacio Andrés | Métodos de aprendizaje de máquinas para la optimización de portafolios de inversión de criptomonedas | 2023 |
| Martínez Gómez, Manuel Darío | Finite-time cooperative control strategies for the economic operation of hybrid AC/DC microgrids | 2023 |
| Herrera Corvalán, Andrés Ignacio | Clasificación de estados cerebrales bajo régimen de anestesia general en primates no humanos utilizando métodos de aprendizaje de máquinas | 2023 |
| Espinosa Curilem, Camilo Ignacio | Cambios en estrategias de exploración visual durante experimentos en visión libre | 2023 |
| Hernández Delgado, Óscar Eduardo | Optimización de la rotación de neumáticos en camiones mineros, utilizando algoritmos de pronóstico | 2023 |
| Bate Illanes, Thomas Frederick | Aprendizaje de máquinas en la industria minera Predicción y monitoreo de fallas | 2023 |
| Zurita Inostroza, Liliana Soledad | Transport Control Protocol con sistema integrado para la evasión de congestión basado en una métrica original de congestión | 2023 |
| Padilla Castillo, Hernán Ignacio | Implementación de esquemas de aprendizaje reforzado offline, para el control de procesos dinámicos | 2023 |
| Ortega Vásquez, Joaquín Ignacio | Detección de obsolescencia de modelos mediante la aplicación de test de información mutua | 2023 |
| Troncoso Kurtovic, Diego Gustavo | A prognostic decision-making approach under uncertainty for an electric vehicle fleet routing problem | 2023 |
| Martín González, Pablo Andrés | BRL-PID Diseño y evaluación de un controlador PID de ganancias adaptables mediante aprendizaje reforzado bayesiano, aplicado al control en tiempo real de un estanque cónico | 2023 |
| Godoy Portioli, Matías David | Clasificación de estados de conciencia cerebrales usando modelos ocultos de Markov | 2023 |
| Baeza Fernández, César Ignacio | Modelo predictivo de consumo energético en automóviles eléctricos en base a métodos de aprendizaje de máquina | 2023 |
| Jaras Castaños, Ismael Sebastián | Energetics, dynamics and structure of spiking neural networks under metabolic constraints | 2023 |
| Salinas Camus, Mariana Ignacia | Path planning for a Mars Rover A prognostic based offline decision-making approach | 2022 |
| Valderrama Illesca, Martín Nicolás | Métodos de pronóstico de fallas en motores diésel de camiones mineros en base a indicadores de degradación probabilísticos | 2022 |
| Fabry Gil, Jorge Andrés | Aprendizaje reforzado fuera de línea en control no lineal de estanques | 2022 |
| Cortés Olivares, Marcelo Esteban | Methodology for the optimization of preventive maintenance strategies focused on large-scale solar photovoltaic plants | 2022 |
| Jara Do Nascimento, Camilo Alejandro | Applications of artificial neural networks for ocular Scanpath prediction | 2022 |
| Albornoz Cornejo, Rodrigo Ignacio | Modelos predictivos basados en técnicas de aprendizaje de máquinas para el análisis de procesos de desgaste en neumáticos de camiones mineros | 2022 |
| Oyharcabal Astorga, Nicolás | Optimization of a maintenance strategy in degrading systems based on operational cost rate quantification | 2021 |
| Ley, Christopher Paul | Accurate inference of the internal polarising impedance surface and total energy capacity – enabling precise Lithium – Ion battery cell voltage and power prognosis | 2021 |
| González Gutiérrez, Mauricio Esteban | A fast-running failure prognostic algorithm based on a non-homogeneous markov chain | 2021 |
| Lincopán Rojas, Alinson Guillermo Roberto | Posicionamiento de productos nuevos en las categorías de Falabella.com utilizando la Plataforma Google Cloud (GCP) | 2021 |
| Matamoros Morris, José Ignacio | Estimación de estados y detección de fallas en un microrred utilizando un filtro de partículas sensible al riesgo | 2021 |
| Armijo Gallego, Manuel Aaron | Caracterización probabilística de perfiles de utilización en camiones mineros | 2021 |
| Futalef Gallardo, Juan Pablo | A decision-making system for managing electric vehicle fleets subject to multiple operational constraints | 2021 |
| Jofré Ortega, Esteban Marcelo | Metodología para evaluar el desempeño de controladores distribuidos en micro redes, frente a fallas en líneas de comunicación | 2020 |
| Jorquera López, Diego Antonio | Desarrollo de un prototipo de modelo predictor de tiempos de llegada de buses para una aplicación que brinda servicios de información sobre el transporte público | 2020 |
| Acuña Ureta, David Esteban | Theoretical foundations uncertain event prognosis and predictive Bayesian Cramér-Rao bounds | 2020 |
| Mendoza Cerda, Bastián Ignacio | Procesamiento de señales para análisis de triangulación de dispositivos móviles utilizando WiFi | 2020 |
| Valenzuela Porcile, Álvaro Esteban | Indicador para pronóstico de fallas en maquinaria de planta de alimentos | 2020 |
Bustos, J. E. G., Baeza, C., Schiele, B. B., Rivera, V., Masserano, B., Orchard, M. E., Burgos-Mellado, C., & Perez, A. (2025). A novel data-driven framework for driving range prognostics in electric vehicles. Engineering Applications of Artificial Intelligence, 142, 109925. https://doi.org/10.1016/j.engappai.2024.109925
2024
Wang, X., Xi, X., & Orchard, M. (2024). Gamma process based degradation model with fractional Gaussian noise. Annual Conference of the PHM Society, 16(1). https://doi.org/10.36001/phmconf.2024.v16i1.4022
Acuña-Ureta, D. E., Fuentealba-Secul, D. I., & Orchard, M. E. (2024). Expected first occurrence time of uncertain future events in one-dimensional linear systems. Annual Conference of the PHM Society, 16(1). https://doi.org/10.36001/phmconf.2024.v16i1.4116
Ortega, J., Ramírez, C., Rojas, T., Tamssaouet, F., Orchard, M., & Silva, J. (2024b). Unsupervised fault detection in a controlled conical tank. Annual Conference of the PHM Society, 16(1). https://doi.org/10.36001/phmconf.2024.v16i1.4137
Chen, S., Xi, X., Zhong, M., & Orchard, M. E. (2024). Feature-weighted random forest with Boruta for fault diagnosis of satellite attitude control systems. Annual Conference of the PHM Society, 16(1). https://doi.org/10.36001/phmconf.2024.v16i1.4132
Allendes, C., Beltrán, A., García, J. E., Troncoso-Kurtovic, D., Masserano, B., Schiele, B. B., Rivera, V., Jaramillo, F., Orchard, M. E., Silva, J. F., Rozas, H., & Rangarajan, S. (2024c). Modeling and simulation of thermal effects on electrical behavior in lithium-ion cells. Annual Conference of the PHM Society, 16(1). https://doi.org/10.36001/phmconf.2024.v16i1.4080
Sánchez-Rivero, M., Duarte-Mermoud, M. A., Travieso-Torres, J. C., Orchard, M. E., & Ceballos-Benavides, G. (2024). Analysis of fractional order-adaptive systems represented by Error Model 1 using a fractional-order gradient approach. Mathematics, 12(20), 3212. https://doi.org/10.3390/math12203212
Martinez, J. J., Félix, M. S., Kulkarni, C., Orchard, M., & Bérenguer, C. (2024). A novel dynamical model for diagnosis, prognosis and health-aware control of lithium-ion batteries. IFAC-PapersOnLine, 58(4), 658–663. https://doi.org/10.1016/j.ifacol.2024.07.294
Benavides, G. E. C., Duarte-Mermoud, M. A., Orchard, M. E., & Ehijo, A. (2024). Enhancing the pitch-rate control performance of an F-16 aircraft using fractional-order direct-MRAC adaptive control. Fractal and Fractional, 8(6), 338. https://doi.org/10.3390/fractalfract8060338
Gutiérrez, J. M., Astroza, R., Jaramillo, F., Orchard, M., & Guarini, M. (2024). Evolution of modal parameters of composite wind turbine blades under short- and long-term forced vibration tests. Journal of Civil Structural Health Monitoring, 14(4), 1059–1074. https://doi.org/10.1007/s13349-024-00773-1
Muxica, D., Rivera, S., Orchard, M. E., Ahumada, C., Jaramillo, F., Bravo, F., Gutiérrez, J. M., & Astroza, R. (2024b). Autonomous sensor system for low-capacity wind turbine blade vibration measurement. Sensors, 24(6), 1733. https://doi.org/10.3390/s24061733
Vicuña, M. L., Silva, J. F., Méndez, R. A., Orchard, M. E., Espinosa, S., & Tregloan-Reed, J. (2024b). 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, 136(1), 014501. https://doi.org/10.1088/1538-3873/ad0ca3
2023
Salinas-Camus, M., Kulkarni, C., & Orchard, M. (2023). Battery state-of-health aware path planning for a Mars rover. Annual Conference of the PHM Society, 15(1). https://doi.org/10.36001/phmconf.2023.v15i1.3511
Acuña-Ureta, D., & Orchard, M. (2023). Underlying probability measure approximated by Monte Carlo simulations in event prognostics. Annual Conference of the PHM Society, 15(1). https://doi.org/10.36001/phmconf.2023.v15i1.3536
Bustos, J. E. G., Schiele, B. B., Masserano, B., Silva, J. F., & Concha, M. O. (2023). Automated workstation for lithium-ion battery cycling, spectroscopy and custom profile for cell characterization. 2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON 2023), 1–6. https://doi.org/10.1109/oncon60463.2023.10431101
Valverde, A., Quintero, V., Jaramillo, F., Perez, A., & Orchard, M. (2023). Understanding the effect on the state of health of a lithium-ion battery caused by charging at a high current rate. IFAC-PapersOnLine, 56(2), 11930–11935. https://doi.org/10.1016/j.ifacol.2023.10.608
Peña-Ancavil, E., Estevez, C., Sanhueza, A., & Orchard, M. (2023b). Adaptive scalable video streaming (ASViS): An advanced ABR transmission protocol for optimal video quality. Electronics, 12(21), 4542. https://doi.org/10.3390/electronics12214542
Martinez-Gomez, M., Orchard, M. E., & Bozhko, S. (2023). Dynamic average consensus with anti-windup applied to interlinking converters in AC/DC microgrids under economic dispatch and delays. IEEE Transactions on Smart Grid, 14(5), 4137–4140. https://doi.org/10.1109/tsg.2023.3291208
Kordestani, M., Orchard, M. E., Khorasani, K., & Saif, M. (2023). An overview of the state of the art in aircraft prognostic and health management strategies. IEEE Transactions on Instrumentation and Measurement, 72, 1–15. https://doi.org/10.1109/tim.2023.3236342
Futalef, J., Muñoz-Carpintero, D., Rozas, H., & Orchard, M. E. (2023b). An online decision-making strategy for routing of electric vehicle fleets. Information Sciences, 625, 715–737. https://doi.org/10.1016/j.ins.2022.12.108
Videla, M., Méndez, R. A., Silva, J. F., & Orchard, M. E. (2023b). Optimal observational scheduling framework for binary and multiple stellar systems. Publications of the Astronomical Society of the Pacific, 135(1043), 014501. https://doi.org/10.1088/1538-3873/acaebc
2022
Tamssaouet, F., Nguyen, K. T., Medjaher, K., & Orchard, M. E. (2022). System-level failure prognostics: Literature review and main challenges. Proceedings of The Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 237(3), 524–545. https://doi.org/10.1177/1748006×221118448
Alvarado, D., Moreno, R., Orchard, M. E., & Kirschen, D. S. (2022). Cost-benefit analysis of maintenance plans: Case study of the power system of a large industrial facility. IEEE Transactions on Power Systems, 38(3), 2046–2057. https://doi.org/10.1109/tpwrs.2022.3185376
Acuña-Ureta, D. E., & Orchard, M. E. (2022). Near-instantaneous battery end-of-discharge prognosis via uncertain event likelihood functions. ISA Transactions, 135, 199–212. https://doi.org/10.1016/j.isatra.2022.09.040
Bustos, J. A. T., Orchard, M. E., Torres-Torriti, M., & Cheein, F. A. (2022). GNSS-based estimation of average instantaneous power consumption in electric vehicles. IEEE Transactions on Industrial Electronics, 70(9), 9281–9290. https://doi.org/10.1109/tie.2022.3206748
Acuña-Ureta, D., & Orchard, M. (2022). Gentle correctness verification of the theory of uncertain event prognosis to compute failure time probability. Proceedings of the Annual Conference of the Prognostics and Health Management Society (PHM), 14(1). https://doi.org/10.36001/phmconf.2022.v14i1.3175
Burgos-Mellado, C., Orchard, M., Muñoz-Carpintero, D., Dragicevic, T., Reyes-Chamorro, L., & Llanos, J. (2022). AC battery: Modular layout with cell-level degradation control. En Proceedings of the 2022 24th European Conference on Power Electronics and Applications (EPE’22 ECCE Europe) (pp. 1–11). IEEE.
Kordestani, M., Rezamand, M., Orchard, M. E., Carriveau, R., Ting, D. S., Rueda, L., & Saif, M. (2022). New condition-based monitoring and fusion approaches with a bounded uncertainty for bearing lifetime prediction. IEEE Sensors Journal, 22(9), 9078–9086. https://doi.org/10.1109/jsen.2022.3159624
Yaqoob, M., Lashab, A., Vasquez, J. C., Guerrero, J. M., Orchard, M. E., & Bintoudi, A. D. (2022). A comprehensive review on small satellite microgrids. IEEE Transactions on Power Electronics, 37(10), 12741–12762. https://doi.org/10.1109/TPEL.2022.3175093
Arias-Cazco, D., Rozas, H., Jimenez, D., Orchard, M. E., & Estevez, C. (2022b). Unifying criteria for calculating the levelized cost of driving in electro-mobility applications. World Electric Vehicle Journal, 13(7), 119. https://doi.org/10.3390/wevj13070119
Videla, M., Méndez, R. A., Clavería, R. M., Silva, J. F., & Orchard, M. E. (2022b). Bayesian inference in single-line spectroscopic binaries with a visual orbit. The Astronomical Journal, 163(5), 220. https://doi.org/10.3847/1538-3881/ac5ab4
Jaramillo, F., Gutiérrez, J. M., Orchard, M., Guarini, M., & Astroza, R. (2022). A Bayesian approach for fatigue damage diagnosis and prognosis of wind turbine blades. Mechanical Systems and Signal Processing, 174, 109067. https://doi.org/10.1016/j.ymssp.2022.109067
2021
Quintero, V., Estevez, C., Orchard, M., Perez, A., Yu, J. Y., & Yu, X. (2021). A reliable and simple method to estimate the electric-vehicle battery state-of-health. ICCVE 2022 – IEEE International Conference on Connected Vehicles and Expo, 1–6. https://doi.org/10.1109/iccve52871.2022.9743069
Gonzalez, M., Silva, J., Videla, M., & Orchard, M. (2021b). Data-driven representations for testing independence: Modeling, analysis and connection with mutual information estimation. IEEE Transactions on Signal Processing, 70, 158–173. https://doi.org/10.1109/tsp.2021.3135689
Tamssaouet, F., Nguyen, K. T. P., Medjaher, K., & Orchard, M. E. (2021). Combination of long short-term memory and particle filtering for future uncertainty characterization in failure prognostic. Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021), 275–281. https://doi.org/10.3850/978-981-18-2016-8_152-cd
Rezamand, M., Kordestani, M., Orchard, M. E., Carriveau, R., Ting, D. S., & Saif, M. (2021). Condition monitoring and failure prognostic of wind turbine blades. 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1711–1718. https://doi.org/10.1109/smc52423.2021.9658902
2020
Rozas, H., Troncoso-Kurtovic, D., Ley, C. P., & Orchard, M. E. (2021b). 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, 40, 102735. https://doi.org/10.1016/j.est.2021.102735
Kordestani, M., Saif, M., Orchard, M. E., Razavi-Far, R., & Khorasani, K. (2019). Failure prognosis and applications—A survey of recent literature. IEEE Transactions on Reliability, 70(2), 728–748. https://doi.org/10.1109/tr.2019.2930195