Petri-Net Based Approach To Configure Online Fault Diagnosis Systems for Batch Processes

نویسندگان

  • Yi-Chung Chen
  • Ming-Li Yeh
  • Chia-Lun Hong
  • Chuei-Tin Chang
چکیده

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.

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تاریخ انتشار 2010