Automata-based operating procedure for abnormal situation management in batch processes

Chun Jung Wang, Yi Chung Chen, Shih Ting Feng, Chuei Tin Chang

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

“Abnormal situation management” (ASM) in general refers to the various tasks required for online fault diagnosis and also hazard mitigation. Although quite a few ASM-related studies have already been carried out in the past, none of them addressed the wide range of issues consistently and rigorously with the same modeling tool. An automata-based strategy is therefore proposed in this work to synthesize all operating procedures needed for diagnostic tests and also other emergency response operations in the batch processes. The proposed model building techniques are suitable not only for characterizing all components in any given process, but also for representing the operation targets of all ASM tasks. Finally, notice that every resulting procedure can be readily expressed with an implementable sequential function chart (SFC).

Original languageEnglish
Pages (from-to)220-241
Number of pages22
JournalComputers and Chemical Engineering
Volume97
DOIs
Publication statusPublished - 2017 Feb 2

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Computer Science Applications

Fingerprint Dive into the research topics of 'Automata-based operating procedure for abnormal situation management in batch processes'. Together they form a unique fingerprint.

  • Cite this