Petri-net based approach to configure online fault diagnosis systems for batch processes

Yi Chung Chen, Ming Li Yeh, Chia Lun Hong, Chuei Tin Chang

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Online fault diagnosis is a task of critical importance for maintaining a high level of operational safety in many chemical plants. The Petri-net models are adopted in this work for describing the fault propagation behaviors in batch processes. A systematic method has been developed to synthesize a timed Petri-net hierarchically structured according to any given piping and instrumentation diagram (P&ID) and its operating procedure. On the basis of this model, a diagnoser can be constructed automatically with a computer program for online implementation. Computer algorithms have also been devised to place additional sensors and/or synthesize extra operation steps for the purpose of improving diagnostic performance. Several examples are presented in this paper to demonstrate the effectiveness and correctness of the proposed approach.

Original languageEnglish
Pages (from-to)4249-4268
Number of pages20
JournalIndustrial and Engineering Chemistry Research
Issue number9
Publication statusPublished - 2010 May 5

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

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