Research on model of fault diagnosis and propagation in complex system

Guang Chen Han, Shu Dong Sun, Shu Bin Si, Ping Fu

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

In order to solve the problem of complexity and uncertainty of fault propagation and analysis in complex system, a new model for fault propagation and fault diagnosis in complex system-Fuzzy Probability Petri Nets System (FPPNS) was constructed. The Fuzzy Probability Petri Nets (FPPN) introduced association probability and belief of fault modes. FPPN was used to represent association among fault modes in subsystems, then the FPPNS were connected through message places and gate transitions according to the relation of subsystems, and finally the model of complex system based on FPPNS was set up. The model combined embedding objects in Petri net with embedding Petri net in objects to simplify the expression of model. The proposed model has better encapsulation, reconfiguration and maintainability. The application of the model was provided in the end.

Original languageEnglish
Pages (from-to)794-798+835
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume11
Issue number6
StatePublished - Jun 2005

Keywords

  • Complex system
  • Fault analysis
  • Fault propagation
  • Fuzzy probability Petri nets system
  • Model
  • Object-oriented

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