Failure probability analysis by employing fuzzy fault tree analysis

A significant number of accidents occur every year in chemical plants because of the failure of components. In order to manage this risk, fault tree analysis (FTA), a well-known method, was employed for failure probability analysis in the mentioned field. A complete access to the failure data is vit...

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Bibliographic Details
Published inInternational journal of system assurance engineering and management Vol. 8; no. Suppl 2; pp. 1177 - 1193
Main Authors Yazdi, Mohammad, Nikfar, Farzaneh, Nasrabadi, Mahnaz
Format Journal Article
LanguageEnglish
Published New Delhi Springer India 01.11.2017
Springer Nature B.V
Subjects
Chemical industry
Chemical plants
Engineering
Engineering Economics
Failure analysis
Fault tree analysis
Fuzzy set theory
Fuzzy sets
Industrial plants
Logistics
Marketing
Organization
Original Article
Quality Control
Reliability
Risk analysis
Risk management
Safety and Risk
Fuzzy sets
Fault tree analysis
Chemical plants
Risk assessment
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Summary:A significant number of accidents occur every year in chemical plants because of the failure of components. In order to manage this risk, fault tree analysis (FTA), a well-known method, was employed for failure probability analysis in the mentioned field. A complete access to the failure data is vital for quantitative FTA. There is always a shortage of information for computing failure probability of the components in high-tech industries such as chemical plants. However, the failure data is not always available, thus FTA can be extended by using the fuzzy set theory to overcome this problem. Therefore, the purpose of this study was to extend fuzzy FTA by considering common cause failure and dependency between the components. In fact, the present study was designed to consider the theoretical and practical aspect of the chemical storage tank as one of the important units in chemical plants.
ISSN:0975-6809
0976-4348
DOI:10.1007/s13198-017-0583-y