Research of failure prediction Bayesian network model

Zhiqiang Cai, Shudong Sun, Shubin Si, Ning Wang

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

11 Scopus citations

Abstract

A failure prediction Bayesian Networks model (FPBN) is brought forward by expanding the traditional Bayesian network (BN) methodology and tailored to deal with failure prediction problems. In the FPBN model, the classification of network nodes: failure detection nodes, failure cause nodes and failure mode nodes, and the algorithm to initialize orientations of network edges are illustrated. Moreover, with the conditional probability distributions, the implementation of the FPBN model in failure mode prediction, failure cause diagnosis and failure detection efficiency analysis are also described in details. At last, the simulation case study of a helicopter convertor is carried out and the comparison results show that, the FPBN model could perform effectively under uncertainty.

Original languageEnglish
Title of host publicationIE and EM 2009 - Proceedings 2009 IEEE 16th International Conference on Industrial Engineering and Engineering Management
Pages2021-2025
Number of pages5
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 network
  • Failure prediction
  • Inference
  • Posterior probability

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