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...

Full description

Saved in:
Bibliographic Details
Published in:International journal of system assurance engineering and management 2017-11, Vol.8 (Suppl 2), p.1177-1193
Main Authors: Yazdi, Mohammad, Nikfar, Farzaneh, Nasrabadi, Mahnaz
Format: Article
Language:English
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
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c316t-191007c73200ef248d1c0b9fb7b73daf2c43555d2ab08c10d85fa3303d1abf6a3
cites cdi_FETCH-LOGICAL-c316t-191007c73200ef248d1c0b9fb7b73daf2c43555d2ab08c10d85fa3303d1abf6a3
container_end_page 1193
container_issue Suppl 2
container_start_page 1177
container_title International journal of system assurance engineering and management
container_volume 8
creator Yazdi, Mohammad
Nikfar, Farzaneh
Nasrabadi, Mahnaz
description 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.
doi_str_mv 10.1007/s13198-017-0583-y
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1964202119</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1964202119</sourcerecordid><originalsourceid>FETCH-LOGICAL-c316t-191007c73200ef248d1c0b9fb7b73daf2c43555d2ab08c10d85fa3303d1abf6a3</originalsourceid><addsrcrecordid>eNp1kLFOwzAURS0EElXpB7BZYja8ZzuJM6KKAlIlFpgtO7GrVGlT7GRwv56EIMTC9N5w7tXRJeQW4R4BioeIAkvFAAsGmRIsXZAFlEXOpJDq8vvPWK6gvCarGPcAgBwll7Ag641p2iE4egqdNbZpmz5RczRtik2kNlF3OLVdao476ofzOVFvhranfXDuF7shV9600a1-7pJ8bJ7e1y9s-_b8un7cskpg3jMsJ9mqEBzAeS5VjRXY0tvCFqI2nldSZFlWc2NBVQi1yrwRAkSNxvrciCW5m3tH18_BxV7vuyGMElFjmUsOHLEcKZypKnQxBuf1KTQHE5JG0JOBnufS41x6mkunMcPnTBzZ486FP83_hr4AW85tvw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1964202119</pqid></control><display><type>article</type><title>Failure probability analysis by employing fuzzy fault tree analysis</title><source>Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List</source><creator>Yazdi, Mohammad ; Nikfar, Farzaneh ; Nasrabadi, Mahnaz</creator><creatorcontrib>Yazdi, Mohammad ; Nikfar, Farzaneh ; Nasrabadi, Mahnaz</creatorcontrib><description>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.</description><identifier>ISSN: 0975-6809</identifier><identifier>EISSN: 0976-4348</identifier><identifier>DOI: 10.1007/s13198-017-0583-y</identifier><language>eng</language><publisher>New Delhi: Springer India</publisher><subject>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</subject><ispartof>International journal of system assurance engineering and management, 2017-11, Vol.8 (Suppl 2), p.1177-1193</ispartof><rights>The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2017</rights><rights>Copyright Springer Science &amp; Business Media 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-191007c73200ef248d1c0b9fb7b73daf2c43555d2ab08c10d85fa3303d1abf6a3</citedby><cites>FETCH-LOGICAL-c316t-191007c73200ef248d1c0b9fb7b73daf2c43555d2ab08c10d85fa3303d1abf6a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27922,27923</link.rule.ids></links><search><creatorcontrib>Yazdi, Mohammad</creatorcontrib><creatorcontrib>Nikfar, Farzaneh</creatorcontrib><creatorcontrib>Nasrabadi, Mahnaz</creatorcontrib><title>Failure probability analysis by employing fuzzy fault tree analysis</title><title>International journal of system assurance engineering and management</title><addtitle>Int J Syst Assur Eng Manag</addtitle><description>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.</description><subject>Chemical industry</subject><subject>Chemical plants</subject><subject>Engineering</subject><subject>Engineering Economics</subject><subject>Failure analysis</subject><subject>Fault tree analysis</subject><subject>Fuzzy set theory</subject><subject>Fuzzy sets</subject><subject>Industrial plants</subject><subject>Logistics</subject><subject>Marketing</subject><subject>Organization</subject><subject>Original Article</subject><subject>Quality Control</subject><subject>Reliability</subject><subject>Risk analysis</subject><subject>Risk management</subject><subject>Safety and Risk</subject><issn>0975-6809</issn><issn>0976-4348</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp1kLFOwzAURS0EElXpB7BZYja8ZzuJM6KKAlIlFpgtO7GrVGlT7GRwv56EIMTC9N5w7tXRJeQW4R4BioeIAkvFAAsGmRIsXZAFlEXOpJDq8vvPWK6gvCarGPcAgBwll7Ag641p2iE4egqdNbZpmz5RczRtik2kNlF3OLVdao476ofzOVFvhranfXDuF7shV9600a1-7pJ8bJ7e1y9s-_b8un7cskpg3jMsJ9mqEBzAeS5VjRXY0tvCFqI2nldSZFlWc2NBVQi1yrwRAkSNxvrciCW5m3tH18_BxV7vuyGMElFjmUsOHLEcKZypKnQxBuf1KTQHE5JG0JOBnufS41x6mkunMcPnTBzZ486FP83_hr4AW85tvw</recordid><startdate>20171101</startdate><enddate>20171101</enddate><creator>Yazdi, Mohammad</creator><creator>Nikfar, Farzaneh</creator><creator>Nasrabadi, Mahnaz</creator><general>Springer India</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20171101</creationdate><title>Failure probability analysis by employing fuzzy fault tree analysis</title><author>Yazdi, Mohammad ; Nikfar, Farzaneh ; Nasrabadi, Mahnaz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-191007c73200ef248d1c0b9fb7b73daf2c43555d2ab08c10d85fa3303d1abf6a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Chemical industry</topic><topic>Chemical plants</topic><topic>Engineering</topic><topic>Engineering Economics</topic><topic>Failure analysis</topic><topic>Fault tree analysis</topic><topic>Fuzzy set theory</topic><topic>Fuzzy sets</topic><topic>Industrial plants</topic><topic>Logistics</topic><topic>Marketing</topic><topic>Organization</topic><topic>Original Article</topic><topic>Quality Control</topic><topic>Reliability</topic><topic>Risk analysis</topic><topic>Risk management</topic><topic>Safety and Risk</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yazdi, Mohammad</creatorcontrib><creatorcontrib>Nikfar, Farzaneh</creatorcontrib><creatorcontrib>Nasrabadi, Mahnaz</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of system assurance engineering and management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yazdi, Mohammad</au><au>Nikfar, Farzaneh</au><au>Nasrabadi, Mahnaz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Failure probability analysis by employing fuzzy fault tree analysis</atitle><jtitle>International journal of system assurance engineering and management</jtitle><stitle>Int J Syst Assur Eng Manag</stitle><date>2017-11-01</date><risdate>2017</risdate><volume>8</volume><issue>Suppl 2</issue><spage>1177</spage><epage>1193</epage><pages>1177-1193</pages><issn>0975-6809</issn><eissn>0976-4348</eissn><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.</abstract><cop>New Delhi</cop><pub>Springer India</pub><doi>10.1007/s13198-017-0583-y</doi><tpages>17</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0975-6809
ispartof International journal of system assurance engineering and management, 2017-11, Vol.8 (Suppl 2), p.1177-1193
issn 0975-6809
0976-4348
language eng
recordid cdi_proquest_journals_1964202119
source Springer Nature:Jisc Collections:Springer Nature Read and Publish 2023-2025: Springer Reading List
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
title Failure probability analysis by employing fuzzy fault tree analysis
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T11%3A59%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Failure%20probability%20analysis%20by%20employing%20fuzzy%20fault%20tree%20analysis&rft.jtitle=International%20journal%20of%20system%20assurance%20engineering%20and%20management&rft.au=Yazdi,%20Mohammad&rft.date=2017-11-01&rft.volume=8&rft.issue=Suppl%202&rft.spage=1177&rft.epage=1193&rft.pages=1177-1193&rft.issn=0975-6809&rft.eissn=0976-4348&rft_id=info:doi/10.1007/s13198-017-0583-y&rft_dat=%3Cproquest_cross%3E1964202119%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c316t-191007c73200ef248d1c0b9fb7b73daf2c43555d2ab08c10d85fa3303d1abf6a3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1964202119&rft_id=info:pmid/&rfr_iscdi=true