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航天复杂系统的加权模糊Petri网故障诊断建模

Translated title of the contribution: Fault diagnosis method for complex aerospace systems based on weighted fuzzy Petri net
  • Tao Hu
  • , Chenhui Ma
  • , Xiaoliuting Zhou*
  • , Jie Liang
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Beijing Institute of Aerospace Systems Engineering

Research output: Contribution to journalArticlepeer-review

Abstract

To solve the problem that the fuzzy Petri net model is difficult to solve the state space explosion, fault relation ambiguity and impact of fault source on fault between aerospace complex system in fault diagnosis, the Weighted Fuzzy Petri Net (WFPN) fault diagnosis method was proposed. In addition, the rule for transferring WFPN to Hierarchical Colored Petri Net (HCPN) was defined. This method combined weighted idea with fuzzy Petri net and transfered WFPN to HCPN model to diagnose the cause of fault by graphical reverse reasoning diagnosis idea. Through the fault diagnosis simulation for the amplifier system in primary stabilization system of aerospace test system, the effectiveness of the proposed method was proved. It had clear fault propagation path and good adaptability to rule-changing, and offered a reference to fault diagnosis of complex systems.

Translated title of the contributionFault diagnosis method for complex aerospace systems based on weighted fuzzy Petri net
Original languageChinese (Traditional)
Pages (from-to)2580-2586
Number of pages7
JournalJisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
Volume25
Issue number10
DOIs
StatePublished - 1 Oct 2019
Externally publishedYes

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