Fault diagnosis based on fuzzy probability SDG in complex system

Zhu Lin*, Chen Jie, Chen Wenjie, Deng Fang

*Corresponding author for this work

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

Abstract

In large-scale complex system, the fault association is completed and varies with the system working status. In this paper, a new fault description -fuzzy probability SDG model (FPSDG) is proposed by introducing the status association probability and fuzzy information. The modeling method and procedure of diagnosis is also proposed after analyzing the information transfer characteristic of the proposed model. On this basis, the message node and route is introduced to connect the FPSDG of those subsystems, and then the FPSDGS model of whole complex system is constructed. The model can model the complicated association of system malfunction and diagnose. Finally, with the proposed method, a fault diagnosis system of a weapon carrier is built. The experiment result of this system proved the effectivity and utility of this model.

Original languageEnglish
Title of host publicationProceedings of the 26th Chinese Control Conference, CCC 2007
Pages516-519
Number of pages4
DOIs
Publication statusPublished - 2007
Event26th Chinese Control Conference, CCC 2007 - Zhangjiajie, China
Duration: 26 Jul 200731 Jul 2007

Publication series

NameProceedings of the 26th Chinese Control Conference, CCC 2007

Conference

Conference26th Chinese Control Conference, CCC 2007
Country/TerritoryChina
CityZhangjiajie
Period26/07/0731/07/07

Keywords

  • Fault diagnosis
  • Fuzzy probability SDG system
  • Object-oriented
  • Status association probability

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