Failure importance analysis models based on Bayesian network

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

6 Scopus citations

Abstract

It is very important for the complex equipment to analyze the importance distribution of failure cause, which can make maintenance experts find the weak point of the equipment for diagnosis and improvement. This paper presents the failure importance analysis models based on the failure importance analysis Bayesian network (FIABN) to calculate the failure causes and modes importance. We adopt the immune algorithm to optimize the structure of FIABN. The numerical simulations show FIABN and the failure importance analysis methods are correct and effective.

Original languageEnglish
Title of host publicationIE and EM 2009 - Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management
Pages151-154
Number of pages4
DOIs
StatePublished - 2009
Event2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management, IE and EM 2009 - Beijing, China
Duration: 21 Oct 200923 Oct 2009

Publication series

NameIE and EM 2009 - Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management

Conference

Conference2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management, IE and EM 2009
Country/TerritoryChina
CityBeijing
Period21/10/0923/10/09

Keywords

  • Bayesian networks
  • Failure cause and mode
  • Genetic algorithm
  • Importance analysis

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