Failure probability analysis by employing fuzzy fault tree analysis

Mohammad Yazdi; Farzaneh Nikfar; Mahnaz Nasrabadi

doi:10.1007/s13198-017-0583-y

Failure probability analysis by employing fuzzy fault tree analysis

Mohammad Yazdi^*, Farzaneh Nikfar, Mahnaz Nasrabadi

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

112 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	1177-1193
Number of pages	17
Journal	International Journal of Systems Assurance Engineering and Management
Volume	8
DOIs	https://doi.org/10.1007/s13198-017-0583-y
Publication status	Published - 15 Feb 2017
Externally published	Yes

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title = "Failure probability analysis by employing fuzzy fault tree analysis",

abstract = "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.",

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AB - 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.

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JO - International Journal of Systems Assurance Engineering and Management

JF - International Journal of Systems Assurance Engineering and Management

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Failure probability analysis by employing fuzzy fault tree analysis

Abstract

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