Title :
Nonlinear system fault detection and isolation based on bootstrap particle filters
Author :
Zhang, Qinghua ; Campillo, Fabien ; Cérou, Frédéric ; LeGland, François
Author_Institution :
INRIA-IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France. Email: zhang@irisa.fr
Abstract :
A particle filter based method for nonlinear system fault detection and isolation is proposed in this paper. It is applicable to quite general stochastic nonlinear dynamic systems in discrete time. The main result consists of a new particle filter algorithm, derived from the basic bootstrap particle filter, and capable of rejecting a subset of the faults possibly affecting the considered system. Fault isolation is then achieved by the evaluation of the estimated likelihoods related to the designed filters.
Keywords :
fault detection and isolation; particle filter; stochastic non-linear system; Design engineering; Fault detection; Fault tolerant systems; Linear systems; Nonlinear dynamical systems; Nonlinear systems; Particle filters; Stochastic processes; Stochastic systems; Systems engineering and theory; fault detection and isolation; particle filter; stochastic non-linear system;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582757
