Hardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA

The hardware reliability of a gas monitoring system was investigated using the fuzzy fault tree analysis method. A fault tree was developed considering the hardware failure of the gas monitoring system as a top event. Two minimum path sets were achieved through qualitative analysis using the ascendi...

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Autores principales: Jingtian Xu, Man Yang, Shugang Li
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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FTA
gas
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Acceso en línea:https://doaj.org/article/84bd361e2938413d90a43485a9ea93ed
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spelling oai:doaj.org-article:84bd361e2938413d90a43485a9ea93ed2021-11-25T16:33:15ZHardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA10.3390/app1122106162076-3417https://doaj.org/article/84bd361e2938413d90a43485a9ea93ed2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/10616https://doaj.org/toc/2076-3417The hardware reliability of a gas monitoring system was investigated using the fuzzy fault tree analysis method. A fault tree was developed considering the hardware failure of the gas monitoring system as a top event. Two minimum path sets were achieved through qualitative analysis using the ascending method. The concept of fuzzy number of the fuzzy set theory was applied to describe the probability of basic event occurrence in the fault tree, and the fuzzy failure probabilities of the middle and top events were calculated using fuzzy AND and OR operators. The results show that the proposed fuzzy fault tree is an effective method of reliability analysis for gas monitoring systems. Results of calculations using this method are more reasonable than those obtained with the conventional fault tree method.Jingtian XuMan YangShugang LiMDPI AGarticlefuzzyFTAgasreliabilitymonitoring systemTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 10616, p 10616 (2021)
institution DOAJ
collection DOAJ
language EN
topic fuzzy
FTA
gas
reliability
monitoring system
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle fuzzy
FTA
gas
reliability
monitoring system
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Jingtian Xu
Man Yang
Shugang Li
Hardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA
description The hardware reliability of a gas monitoring system was investigated using the fuzzy fault tree analysis method. A fault tree was developed considering the hardware failure of the gas monitoring system as a top event. Two minimum path sets were achieved through qualitative analysis using the ascending method. The concept of fuzzy number of the fuzzy set theory was applied to describe the probability of basic event occurrence in the fault tree, and the fuzzy failure probabilities of the middle and top events were calculated using fuzzy AND and OR operators. The results show that the proposed fuzzy fault tree is an effective method of reliability analysis for gas monitoring systems. Results of calculations using this method are more reasonable than those obtained with the conventional fault tree method.
format article
author Jingtian Xu
Man Yang
Shugang Li
author_facet Jingtian Xu
Man Yang
Shugang Li
author_sort Jingtian Xu
title Hardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA
title_short Hardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA
title_full Hardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA
title_fullStr Hardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA
title_full_unstemmed Hardware Reliability Analysis of a Coal Mine Gas Monitoring System Based on Fuzzy-FTA
title_sort hardware reliability analysis of a coal mine gas monitoring system based on fuzzy-fta
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/84bd361e2938413d90a43485a9ea93ed
work_keys_str_mv AT jingtianxu hardwarereliabilityanalysisofacoalminegasmonitoringsystembasedonfuzzyfta
AT manyang hardwarereliabilityanalysisofacoalminegasmonitoringsystembasedonfuzzyfta
AT shugangli hardwarereliabilityanalysisofacoalminegasmonitoringsystembasedonfuzzyfta
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