Fuzzy Logic in Process Safety Modeling of Chemical Process

نویسندگان

  • G. Vijayaraghavan
  • M. Jayalakshmi
چکیده

Chemical Process Plant as a complex system requires good scientific knowledge on different issues including Process Safety Analysis (PSA). Fuzzy logic is the collective name for “Fuzzy set analysis” and “Possibility theory”, able to use random or approximate data in the Process Safety Analysis. This paper explains the impact of fuzzy set theory for basic tools used in Process Safety Analysis. It also discusses the sources and types of uncertainties encountered in PSA and also methods to deal with them. There are different methods to improve the quality of the PSA, for example sensitivity analysis, expert systems, statistics and fuzzy logic.Fuzzy logic is one of the promising methods for reliability assessment. The traditional PSA tools like Fault Tree analysis (FTA) and Event Tree (ET) were trimmed and free of uncertainty by the application of Fuzzy logic. Now these tools provide correct process risk level and safety assurance. The mathematical model developed with fuzzy logic enables the identification of safety barriers implemented to prevent the top event from taking place and to control the effects.

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تاریخ انتشار 2013