Failure probability analysis by employing fuzzy fault tree analysis

被引：103

作者：

Yazdi M. ^{[1
]}

Nikfar F. ^{[2
]}

Nasrabadi M. ^{[3
]}

机构：

[1] Department of Industrial Engineering, Eastern Mediterranean University, via Mersin 10, Famagusta, North Cyprus

[2] Department of Health, Safety and Environmental, Shahid Tondgouyan Petrochemical Company, Mahshahr

[3] Department of Environment Management (HSE), Faculty of Engineering and Technology, Zahedan Branch, Islamic Azad University, Zahedan

来源：

International Journal of System Assurance Engineering and Management | 2017年 / 8卷 / Suppl 2期

关键词：

Chemical plants; Fault tree analysis; Fuzzy sets; Risk assessment;

D O I：

10.1007/s13198-017-0583-y

中图分类号：

学科分类号：

摘要：

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. © 2017, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.

引用

页码：1177 / 1193

页数：16

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