Adaptive sensor fault detection and identification using particle filter algorithms

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 39, Issue 2, 2009, Pages 201-213

  Wei, Tao ^a,b   Huang, Yufei ^a   Chen, C L Philip ^a  

^a The University of Texas at San Antonio   (United States)

^b Limitless Horse Power (LHP) LLC   (United States)

Author keywords

Fault detection and isolation (FDI); Mixture Kalman filter (MKF); Monte Carlo technique; Particle filter (PF); Sensor failure; Sensor validation; StochasticM algorithm (SMA)

Indexed keywords

ADAPTIVE ALGORITHMS; AIR FILTERS; COMMUNICATION; CONTROL THEORY; DIGITAL COMMUNICATION SYSTEMS; DIGITAL FILTERS; DISTRIBUTED COMPUTER SYSTEMS; ELECTRIC FAULT LOCATION; FAULT DETECTION; IDENTIFICATION (CONTROL SYSTEMS); KALMAN FILTERS; MIXTURES; MONTE CARLO METHODS; NONLINEAR CONTROL SYSTEMS; NONLINEAR FILTERING; TARGET TRACKING;

FAULT DETECTION AND ISOLATION (FDI); MIXTURE KALMAN FILTER (MKF); MONTE CARLO TECHNIQUE; PARTICLE FILTER (PF); SENSOR FAILURE; SENSOR VALIDATION; STOCHASTICM-ALGORITHM (SMA);

SENSORS;

EID: 63049095648     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCC.2008.2006759     Document Type: Article

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