Particle filtering based likelihood ratio approach to fault diagnosis in nonlinear stochastic systems

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

Volumn 31, Issue 3, 2001, Pages 337-343

  Li, Ping ^a   Kadirkamanathan, Visakan ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Extended Kalman filter (EKF); Fault diagnosis; Likelihood ratio (LR) test; Monte Carlo technique; Nonlinear stochastic system; Particle filter (PF)

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FAILURE ANALYSIS; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS; NONLINEAR SYSTEMS;

PARTICLE FILTERING; STOCHASTIC SYSTEMS;

KALMAN FILTERING;

EID: 0035435254     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/5326.971661     Document Type: Article

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