A design approach of model-based optimal fault diagnosis

Qiang Shen, Lin Feng Gou, Xue Min Yang

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

Abstract

The main purpose of fault diagnosis is to detect faults rapidly and accurately, decide the types, sizes and trends of faults, furthermore, separate the fault and make a proper decision to avoid fault. A model-based optimal fault diagnosis method is proposed in this paper. Modeling for a class of typical faults whose dynamic characteristics were known and the initial conditions were unknown with methods in linear system theory, and a reduced-order state observer was designed for fault system. In order to realize fault state of on-line optimal estimation, an optimal fault diagnosis method was proposed by optimal control theory and duality principle, meanwhile, observation error and control energy was optimum. In addition, threshold value is used to decide whether the fault occurred. Simulation results demonstrate the optimal fault diagnosis system can detect the typical faults on-line.

Original languageEnglish
Title of host publicationElectronics and Signal Processing - Selected Papers from the 2011 International Conference on Electric and Electronics, EEIC 2011
Pages493-501
Number of pages9
EditionVOL. 1
DOIs
StatePublished - 2011
Event2011 International Conference on Electric and Electronics, EEIC 2011 - Nanchang, China
Duration: 20 Jun 201122 Jun 2011

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 1
Volume97 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference2011 International Conference on Electric and Electronics, EEIC 2011
Country/TerritoryChina
CityNanchang
Period20/06/1122/06/11

Keywords

  • fault diagnosis
  • optimal observer
  • quadratic performance index
  • threshold

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