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Fault locator of an allyl chloride plant

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Author(s): Savković-Stevanović Jelenka B.

Journal: Hemijska Industrija
ISSN 0367-598X

Volume: 58;
Issue: 9;
Start page: 401;
Date: 2004;
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Keywords: cognitive dispersion model | loss prevention | fault event modeling | fuzzy forecasting

ABSTRACT
Process safety analysis, which includes qualitative fault event identification, the relative frequency and event probability functions, as well as consequence analysis, was performed on an allye chloride plant. An event tree for fault diagnosis and cognitive reliability analysis, as well as a troubleshooting system, were developed. Fuzzy inductive reasoning illustrated the advantages compared to crisp inductive reasoning. A qualitative model forecast the future behavior of the system in the case of accident detection and then compared it with the actual measured data. A cognitive model including qualitative and quantitative information by fuzzy logic of the incident scenario was derived as a fault locator for an ally! chloride plant. The obtained results showed the successful application of cognitive dispersion modeling to process safety analysis. A fuzzy inductive reasoner illustrated good performance to discriminate between different types of malfunctions. This fault locator allowed risk analysis and the construction of a fault tolerant system. This study is the first report in the literature showing the cognitive reliability analysis method.
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