Fault diagnosis and accommodation based on online multi-model for nonlinear process

Jun Li, Cuimei Bo, Jiugen Zhang, Jie Du

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Fault diagnosis and accommodation(FDA) for nonlinear multi-variables system under multi-fault are investigated in the paper. A complete PDA architecture is proposed by incorporating the intelligent fault tolerant control strategy with a cost-effective fault detection and diagnosis (FDD) scheme based on a multiple-model. The schem efficiently handles the accommodation of both the anticipated and unanticipated failures in online situations. The three-tank with multiple sensor fault concurrence is simulated, the simulating result shows that the fault detection and tolerant control strategy has stronger robustness and tolerant fault ability.

Original languageEnglish
Title of host publicationComputational Intelligence International Conference on Intelligent Computing, ICIC 2006, Proceedings
PublisherSpringer Verlag
Pages661-666
Number of pages6
ISBN (Print)3540372741, 9783540372745
DOIs
StatePublished - 2006
EventInternational Conference on Intelligent Computing, ICIC 2006 - Kunming, China
Duration: 16 Aug 200619 Aug 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4114 LNAI - II
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Intelligent Computing, ICIC 2006
Country/TerritoryChina
CityKunming
Period16/08/0619/08/06

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