Risk and reliability evaluation of gas connector systems using fuzzy theory and expert elicitation

Gas connectors are installed in almost every home in the United States and around the world. The reliability of these connectors is quintessential in protecting people, property and the environment. The critical heuristic analysis model presented in this study assessed the reliability of fuel gas co...

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Main Author: Richard Olawoyin
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Cogent Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/23311916.2017.1372731
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author Richard Olawoyin
author_facet Richard Olawoyin
author_sort Richard Olawoyin
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description Gas connectors are installed in almost every home in the United States and around the world. The reliability of these connectors is quintessential in protecting people, property and the environment. The critical heuristic analysis model presented in this study assessed the reliability of fuel gas connectors (FGC), the likelihood of FGC failure, potential hazards, causes and consequences in a common perspective. The “Bow-tie” method was introduced to integrate the fault tree analysis (FTA) and the event tree analysis (ETA). 31 minimal cut sets and 33 basic events (BEs) of the FTA were determined from qualitative analysis, while the important measures analyses of BEs and the failure probability of the top event $ {\text{Pr}} \left( {TE} \right) $ were analyzed quantitatively. Traditional risk assessment techniques (RAT) considered the probabilities of basic events (BEs) as accurate values without accounting for uncertainty and impression with some BEs. This study improved on the traditional RAT by integrating expert elicitation technique and fuzzy set theories (FST) for the evaluation of these events. FST minimized the uncertainty and fuzziness of the events, the$ {\text{Pr}} \left( {\text{TE}} \right)= 5.138 \times 10^{ - 2} $ and flexible gas connectors were determined to be safer for use and have the lowest failure risk compared to black iron pipe. The approach used in this study considered multi-dimensional approach for effectively analyzing fuzzy events and the outcomes are helpful to professionals in making decisions on the preventive, protective and corrective actions necessary in the risk management process.
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spelling doaj.art-6a8b981fd20e420baa5e3589e421572c2023-09-02T13:51:54ZengTaylor & Francis GroupCogent Engineering2331-19162017-01-014110.1080/23311916.2017.13727311372731Risk and reliability evaluation of gas connector systems using fuzzy theory and expert elicitationRichard Olawoyin0Oakland UniversityGas connectors are installed in almost every home in the United States and around the world. The reliability of these connectors is quintessential in protecting people, property and the environment. The critical heuristic analysis model presented in this study assessed the reliability of fuel gas connectors (FGC), the likelihood of FGC failure, potential hazards, causes and consequences in a common perspective. The “Bow-tie” method was introduced to integrate the fault tree analysis (FTA) and the event tree analysis (ETA). 31 minimal cut sets and 33 basic events (BEs) of the FTA were determined from qualitative analysis, while the important measures analyses of BEs and the failure probability of the top event $ {\text{Pr}} \left( {TE} \right) $ were analyzed quantitatively. Traditional risk assessment techniques (RAT) considered the probabilities of basic events (BEs) as accurate values without accounting for uncertainty and impression with some BEs. This study improved on the traditional RAT by integrating expert elicitation technique and fuzzy set theories (FST) for the evaluation of these events. FST minimized the uncertainty and fuzziness of the events, the$ {\text{Pr}} \left( {\text{TE}} \right)= 5.138 \times 10^{ - 2} $ and flexible gas connectors were determined to be safer for use and have the lowest failure risk compared to black iron pipe. The approach used in this study considered multi-dimensional approach for effectively analyzing fuzzy events and the outcomes are helpful to professionals in making decisions on the preventive, protective and corrective actions necessary in the risk management process.http://dx.doi.org/10.1080/23311916.2017.1372731fuel gas connectorsfault tree analysisfailure probabilityfussy theoryexpert elicitationrisk index
spellingShingle Richard Olawoyin
Risk and reliability evaluation of gas connector systems using fuzzy theory and expert elicitation
Cogent Engineering
fuel gas connectors
fault tree analysis
failure probability
fussy theory
expert elicitation
risk index
title Risk and reliability evaluation of gas connector systems using fuzzy theory and expert elicitation
title_full Risk and reliability evaluation of gas connector systems using fuzzy theory and expert elicitation
title_fullStr Risk and reliability evaluation of gas connector systems using fuzzy theory and expert elicitation
title_full_unstemmed Risk and reliability evaluation of gas connector systems using fuzzy theory and expert elicitation
title_short Risk and reliability evaluation of gas connector systems using fuzzy theory and expert elicitation
title_sort risk and reliability evaluation of gas connector systems using fuzzy theory and expert elicitation
topic fuel gas connectors
fault tree analysis
failure probability
fussy theory
expert elicitation
risk index
url http://dx.doi.org/10.1080/23311916.2017.1372731
work_keys_str_mv AT richardolawoyin riskandreliabilityevaluationofgasconnectorsystemsusingfuzzytheoryandexpertelicitation