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Marcos Orchard
Marcos Orchard
University of Chile
Bestätigte E-Mail-Adresse bei ing.uchile.cl - Startseite
Titel
Zitiert von
Zitiert von
Jahr
A particle-filtering approach for on-line fault diagnosis and failure prognosis
ME Orchard, GJ Vachtsevanos
Transactions of the Institute of Measurement and Control 31 (3-4), 221-246, 2009
6032009
Machine condition prediction based on adaptive neuro–fuzzy and high-order particle filtering
C Chen, B Zhang, G Vachtsevanos, M Orchard
IEEE Transactions on Industrial Electronics 58 (9), 4353-4364, 2010
3112010
A probabilistic fault detection approach: Application to bearing fault detection
B Zhang, C Sconyers, C Byington, R Patrick, ME Orchard, ...
Ieee transactions on industrial electronics 58 (5), 2011-2018, 2010
2962010
Failure prognosis and applications—A survey of recent literature
M Kordestani, M Saif, ME Orchard, R Razavi-Far, K Khorasani
IEEE transactions on reliability 70 (2), 728-748, 2019
2882019
Particle-filtering-based prognosis framework for energy storage devices with a statistical characterization of state-of-health regeneration phenomena
BE Olivares, MAC Munoz, ME Orchard, JF Silva
IEEE Transactions on Instrumentation and Measurement 62 (2), 364-376, 2012
2402012
Advances in uncertainty representation and management for particle filtering applied to prognostics
M Orchard, G Kacprzynski, K Goebel, B Saha, G Vachtsevanos
2008 international conference on prognostics and health management, 1-6, 2008
2132008
Machine remaining useful life prediction: An integrated adaptive neuro-fuzzy and high-order particle filtering approach
C Chen, G Vachtsevanos, ME Orchard
Mechanical Systems and Signal Processing 28, 597-607, 2012
1572012
Effect of battery degradation on multi-service portfolios of energy storage
A Perez, R Moreno, R Moreira, M Orchard, G Strbac
IEEE Transactions on Sustainable Energy 7 (4), 1718-1729, 2016
1522016
A particle filtering-based framework for on-line fault diagnosis and failure prognosis
ME Orchard
Georgia Institute of Technology, 2007
1492007
Critical wind turbine components prognostics: A comprehensive review
M Rezamand, M Kordestani, R Carriveau, DSK Ting, ME Orchard, M Saif
IEEE Transactions on Instrumentation and Measurement 69 (12), 9306-9328, 2020
1432020
Risk measures for particle-filtering-based state-of-charge prognosis in lithium-ion batteries
ME Orchard, P Hevia-Koch, B Zhang, L Tang
IEEE Transactions on Industrial Electronics 60 (11), 5260-5269, 2012
1422012
Particle-filtering-based discharge time prognosis for lithium-ion batteries with a statistical characterization of use profiles
DA Pola, HF Navarrete, ME Orchard, RS Rabié, MA Cerda, BE Olivares, ...
IEEE Transactions on Reliability 64 (2), 710-720, 2015
1402015
Particle-filtering-based estimation of maximum available power state in Lithium-Ion batteries
C Burgos-Mellado, ME Orchard, M Kazerani, R Cárdenas, D Sáez
Applied Energy 161, 349-363, 2016
1352016
A particle filtering framework for failure prognosis
M Orchard, B Wu, G Vachtsevanos
World tribology congress 42029, 883-884, 2005
1342005
Fuzzy modelling for the state-of-charge estimation of lead-acid batteries
C Burgos, D Sáez, ME Orchard, R Cárdenas
Journal of Power Sources 274, 355-366, 2015
1212015
A particle filtering approach for on-line failure prognosis in a planetary carrier plate
ME Orchard, GJ Vachtsevanos
International Journal of Fuzzy Logic and Intelligent Systems 7 (4), 221-227, 2007
1212007
A full compensating system for general loads, based on a combination of thyristor binary compensator, and a PWM-IGBT active power filter
J Dixon, Y del Valle, M Orchard, M Ortúzar, L Morán, C Maffrand
IEEE Transactions on Industrial Electronics 50 (5), 982-989, 2003
1142003
Multi-objective optimal design of lithium-ion battery packs based on evolutionary algorithms
B Severino, F Gana, R Palma-Behnke, PA Estévez, WR Calderón-Munoz, ...
Journal of Power Sources 267, 288-299, 2014
1022014
A particle filtering-based framework for real-time fault diagnosis and failure prognosis in a turbine engine
ME Orchard, GJ Vachtsevanos
2007 mediterranean conference on control & automation, 1-6, 2007
932007
Rolling element bearing feature extraction and anomaly detection based on vibration monitoring
B Zhang, G Georgoulas, M Orchard, A Saxena, D Brown, G Vachtsevanos, ...
2008 16th Mediterranean Conference on Control and Automation, 1792-1797, 2008
902008
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