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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MDPI AG
2021
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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) |
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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 |
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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 |
_version_ |
1718413148313092096 |