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Nonlinear system fault detection and isolation based on bootstrap particle filters

Authors :
F. Legland
Frédéric Cérou
Qinghua Zhang
Fabien Campillo
Applications and Tools of Automatic Control (SOSSO2)
Inria Paris-Rocquencourt
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Applications of interacting particle systems to statistics (ASPI)
Université de Rennes (UR)-Inria Rennes – Bretagne Atlantique
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)
IEEE--CSS
Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Inria Rennes – Bretagne Atlantique
Source :
Proceedings of the joint 44th Conference on Decision and Control and 8th European Control Conference, Seville 2005, Proceedings of the joint 44th Conference on Decision and Control and 8th European Control Conference, Seville 2005, IEEE--CSS, Dec 2005, Seville, Spain. pp.3821--3826, ⟨10.1109/CDC.2005.1582757⟩
Publication Year :
2005
Publisher :
HAL CCSD, 2005.

Abstract

International audience; 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.

Subjects

Subjects :
0209 industrial biotechnology
Engineering
business.industry
020206 networking & telecommunications
02 engineering and technology
Fault detection and isolation
[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
Nonlinear system
020901 industrial engineering & automation
Discrete time and continuous time
Control theory
Nonlinear dynamic systems
0202 electrical engineering, electronic engineering, information engineering
Particle filter
business
Particle filtering algorithm

Details

Language :
English
Database :
OpenAIRE
Journal :
Proceedings of the joint 44th Conference on Decision and Control and 8th European Control Conference, Seville 2005, Proceedings of the joint 44th Conference on Decision and Control and 8th European Control Conference, Seville 2005, IEEE--CSS, Dec 2005, Seville, Spain. pp.3821--3826, ⟨10.1109/CDC.2005.1582757⟩
Accession number :
edsair.doi.dedup.....ffb67bef2a9d5ca84cf2aace60b62897
Full Text :
https://doi.org/10.1109/CDC.2005.1582757⟩
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