A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN)

The investigation of the nuclear accidents reveals that the accumulation of various technical and nontechnical lapses compounded the nuclear disaster. By using Analytic Hierarchy Process (AHP) and Bayesian Network (BN) the present research signifies the technical and nontechnical issues of nuclear a...
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Autor*in:	Muhammad eZubair [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2014

Schlagwörter:	Nuclear Energy AHP Reliability BN Accident Analysis

Übergeordnetes Werk:	In: Frontiers in Energy Research - Frontiers Media S.A., 2014, 2(2014)
Übergeordnetes Werk:	volume:2 ; year:2014

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3389/fenrg.2014.00052

Katalog-ID:	DOAJ040357120

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spelling	10.3389/fenrg.2014.00052 doi (DE-627)DOAJ040357120 (DE-599)DOAJc2a45ad8d6d441c68ab965de7415f109 DE-627 ger DE-627 rakwb eng Muhammad eZubair verfasserin aut A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN) 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The investigation of the nuclear accidents reveals that the accumulation of various technical and nontechnical lapses compounded the nuclear disaster. By using Analytic Hierarchy Process (AHP) and Bayesian Network (BN) the present research signifies the technical and nontechnical issues of nuclear accidents. The study exposed that besides technical fixes such as enhanced engineering safety features and better siting choices, the critical ingredient for safe operation of nuclear reactors lie in the quality of human training and transparency of the nuclear regulatory process that keeps public interest at the forefront.In this study a hybrid approach for reliability analysis based on AHP and BN to increase Nuclear Power Plant (NPP) safety has been developed. By using AHP, best alternative to improve safety, design, operation, and to allocate budget for all technical and non-technical factors related with nuclear safety has been investigated. We use a special structure of Bayesian network (BN) based on the method AHP. The graphs of the BN and the probabilities associated with nodes are designed to translate the knowledge of experts on the selection of best alternative. The results show that the improvement in regulatory authorities will decrease failure probabilities and increase safety and reliability in industrial area. Nuclear Energy AHP Reliability BN Accident Analysis General Works A In Frontiers in Energy Research Frontiers Media S.A., 2014 2(2014) (DE-627)768576768 (DE-600)2733788-1 2296598X nnns volume:2 year:2014 https://doi.org/10.3389/fenrg.2014.00052 kostenfrei https://doaj.org/article/c2a45ad8d6d441c68ab965de7415f109 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fenrg.2014.00052/full kostenfrei https://doaj.org/toc/2296-598X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2014
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allfieldsGer	10.3389/fenrg.2014.00052 doi (DE-627)DOAJ040357120 (DE-599)DOAJc2a45ad8d6d441c68ab965de7415f109 DE-627 ger DE-627 rakwb eng Muhammad eZubair verfasserin aut A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN) 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The investigation of the nuclear accidents reveals that the accumulation of various technical and nontechnical lapses compounded the nuclear disaster. By using Analytic Hierarchy Process (AHP) and Bayesian Network (BN) the present research signifies the technical and nontechnical issues of nuclear accidents. The study exposed that besides technical fixes such as enhanced engineering safety features and better siting choices, the critical ingredient for safe operation of nuclear reactors lie in the quality of human training and transparency of the nuclear regulatory process that keeps public interest at the forefront.In this study a hybrid approach for reliability analysis based on AHP and BN to increase Nuclear Power Plant (NPP) safety has been developed. By using AHP, best alternative to improve safety, design, operation, and to allocate budget for all technical and non-technical factors related with nuclear safety has been investigated. We use a special structure of Bayesian network (BN) based on the method AHP. The graphs of the BN and the probabilities associated with nodes are designed to translate the knowledge of experts on the selection of best alternative. The results show that the improvement in regulatory authorities will decrease failure probabilities and increase safety and reliability in industrial area. Nuclear Energy AHP Reliability BN Accident Analysis General Works A In Frontiers in Energy Research Frontiers Media S.A., 2014 2(2014) (DE-627)768576768 (DE-600)2733788-1 2296598X nnns volume:2 year:2014 https://doi.org/10.3389/fenrg.2014.00052 kostenfrei https://doaj.org/article/c2a45ad8d6d441c68ab965de7415f109 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fenrg.2014.00052/full kostenfrei https://doaj.org/toc/2296-598X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2014
allfieldsSound	10.3389/fenrg.2014.00052 doi (DE-627)DOAJ040357120 (DE-599)DOAJc2a45ad8d6d441c68ab965de7415f109 DE-627 ger DE-627 rakwb eng Muhammad eZubair verfasserin aut A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN) 2014 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The investigation of the nuclear accidents reveals that the accumulation of various technical and nontechnical lapses compounded the nuclear disaster. By using Analytic Hierarchy Process (AHP) and Bayesian Network (BN) the present research signifies the technical and nontechnical issues of nuclear accidents. The study exposed that besides technical fixes such as enhanced engineering safety features and better siting choices, the critical ingredient for safe operation of nuclear reactors lie in the quality of human training and transparency of the nuclear regulatory process that keeps public interest at the forefront.In this study a hybrid approach for reliability analysis based on AHP and BN to increase Nuclear Power Plant (NPP) safety has been developed. By using AHP, best alternative to improve safety, design, operation, and to allocate budget for all technical and non-technical factors related with nuclear safety has been investigated. We use a special structure of Bayesian network (BN) based on the method AHP. The graphs of the BN and the probabilities associated with nodes are designed to translate the knowledge of experts on the selection of best alternative. The results show that the improvement in regulatory authorities will decrease failure probabilities and increase safety and reliability in industrial area. Nuclear Energy AHP Reliability BN Accident Analysis General Works A In Frontiers in Energy Research Frontiers Media S.A., 2014 2(2014) (DE-627)768576768 (DE-600)2733788-1 2296598X nnns volume:2 year:2014 https://doi.org/10.3389/fenrg.2014.00052 kostenfrei https://doaj.org/article/c2a45ad8d6d441c68ab965de7415f109 kostenfrei http://journal.frontiersin.org/Journal/10.3389/fenrg.2014.00052/full kostenfrei https://doaj.org/toc/2296-598X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2014
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author	Muhammad eZubair
spellingShingle	Muhammad eZubair misc Nuclear Energy misc AHP misc Reliability misc BN misc Accident Analysis misc General Works misc A A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN)
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topic_title	A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN) Nuclear Energy AHP Reliability BN Accident Analysis
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title	A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN)
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title_auth	A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN)
abstract	The investigation of the nuclear accidents reveals that the accumulation of various technical and nontechnical lapses compounded the nuclear disaster. By using Analytic Hierarchy Process (AHP) and Bayesian Network (BN) the present research signifies the technical and nontechnical issues of nuclear accidents. The study exposed that besides technical fixes such as enhanced engineering safety features and better siting choices, the critical ingredient for safe operation of nuclear reactors lie in the quality of human training and transparency of the nuclear regulatory process that keeps public interest at the forefront.In this study a hybrid approach for reliability analysis based on AHP and BN to increase Nuclear Power Plant (NPP) safety has been developed. By using AHP, best alternative to improve safety, design, operation, and to allocate budget for all technical and non-technical factors related with nuclear safety has been investigated. We use a special structure of Bayesian network (BN) based on the method AHP. The graphs of the BN and the probabilities associated with nodes are designed to translate the knowledge of experts on the selection of best alternative. The results show that the improvement in regulatory authorities will decrease failure probabilities and increase safety and reliability in industrial area.
abstractGer	The investigation of the nuclear accidents reveals that the accumulation of various technical and nontechnical lapses compounded the nuclear disaster. By using Analytic Hierarchy Process (AHP) and Bayesian Network (BN) the present research signifies the technical and nontechnical issues of nuclear accidents. The study exposed that besides technical fixes such as enhanced engineering safety features and better siting choices, the critical ingredient for safe operation of nuclear reactors lie in the quality of human training and transparency of the nuclear regulatory process that keeps public interest at the forefront.In this study a hybrid approach for reliability analysis based on AHP and BN to increase Nuclear Power Plant (NPP) safety has been developed. By using AHP, best alternative to improve safety, design, operation, and to allocate budget for all technical and non-technical factors related with nuclear safety has been investigated. We use a special structure of Bayesian network (BN) based on the method AHP. The graphs of the BN and the probabilities associated with nodes are designed to translate the knowledge of experts on the selection of best alternative. The results show that the improvement in regulatory authorities will decrease failure probabilities and increase safety and reliability in industrial area.
abstract_unstemmed	The investigation of the nuclear accidents reveals that the accumulation of various technical and nontechnical lapses compounded the nuclear disaster. By using Analytic Hierarchy Process (AHP) and Bayesian Network (BN) the present research signifies the technical and nontechnical issues of nuclear accidents. The study exposed that besides technical fixes such as enhanced engineering safety features and better siting choices, the critical ingredient for safe operation of nuclear reactors lie in the quality of human training and transparency of the nuclear regulatory process that keeps public interest at the forefront.In this study a hybrid approach for reliability analysis based on AHP and BN to increase Nuclear Power Plant (NPP) safety has been developed. By using AHP, best alternative to improve safety, design, operation, and to allocate budget for all technical and non-technical factors related with nuclear safety has been investigated. We use a special structure of Bayesian network (BN) based on the method AHP. The graphs of the BN and the probabilities associated with nodes are designed to translate the knowledge of experts on the selection of best alternative. The results show that the improvement in regulatory authorities will decrease failure probabilities and increase safety and reliability in industrial area.
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title_short	A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN)
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A HYBRID APPROACH FOR RELIABILITY ANALYSIS BASED ON ANALYTIC HIERARCHY PROCESS (AHP) AND BAYESIAN NETWORK (BN)

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