Fault diagnosis based on fuzzy probability signed directed graph in complex system

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

After analyzing the information transfer characteristics of large-scale complex systems, a new fault description model-fuzzy probability signed directed graph (FPSDG) was proposed by introducing the status association probability, fuzzy information and object-oriented technology in SDG. The modeling method and procedure of diagnosis is proposed. On this basis, the message node and route is introduced to connect the FPSDG of those subsystems, and then the FPSDGs model of the whole complex system constructed. The complicated association of complex system malfunction can be modeled and diagnosed by the proposed method. Finally, the fault diagnosis system of a weapon carrier is built up with the proposed method. Experimental result of this system proved the effectivity and utility of this model.

Original languageEnglish
Pages (from-to)969-973
Number of pages5
JournalBeijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume27
Issue number11
Publication statusPublished - Nov 2007

Keywords

  • Fault diagnosis
  • Fuzzy information
  • Signed directed graph
  • Status association probability

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