GO-Bayes method for system modeling and safety analysis

Guoqiang Cai, Limin Jia, Hui Zhen, Mingming Zheng, Shuai Feng, Meng Chu Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Safety analysis ensuring the normal operation of an engineering system is important. The existing safety analysis methods are limited to relatively simple fact description and statistical induction level. Besides, many of them enjoy poor generality, and fail to achieve comprehensive safety evaluation given a system structure and collected information. This work describes a new safety analysis method, called a GO-Bayes algorithm. It combines structural modeling of the GO method and probabilistic reasoning of the Bayes method. It can be widely used in system analysis. The work takes a metro vehicle braking system as an example to verify its usefulness and accuracy. Visual implementation by Extendsim software shows its feasibility and advantages in comparison with the Fault Tree Analysis (FTA) method.

Original languageEnglish (US)
Title of host publicationProceedings - DMS 2015
Subtitle of host publication21st International Conference on Distributed Multimedia Systems
PublisherKnowledge Systems Institute Graduate School
Pages49-58
Number of pages10
ISBN (Electronic)1891706381, 9781891706387
DOIs
StatePublished - 2015
Event21st International Conference on Distributed Multimedia Systems, DMS 2015 - Vancouver, Canada
Duration: Aug 31 2015Sep 2 2015

Publication series

NameProceedings - DMS 2015: 21st International Conference on Distributed Multimedia Systems

Other

Other21st International Conference on Distributed Multimedia Systems, DMS 2015
CountryCanada
CityVancouver
Period8/31/159/2/15

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Keywords

  • And reliability
  • Go-bayes method
  • Safety analysis

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