메뉴 건너뛰기




Volumn 229, Issue 6, 2015, Pages 530-541

Dynamic fault tree analysis based on continuous-time Bayesian networks under fuzzy numbers

Author keywords

Bayesian networks; dynamic fault tree analysis; fault tree analysis; fuzzy numbers; System reliability

Indexed keywords

BAYESIAN NETWORKS; CONTINUOUS TIME SYSTEMS; FUZZY INFERENCE; FUZZY LOGIC; FUZZY NEURAL NETWORKS; FUZZY RULES; MARKOV CHAINS; PROBABILITY DISTRIBUTIONS; RELIABILITY ANALYSIS;

EID: 84947707132     PISSN: 1748006X     EISSN: 17480078     Source Type: Journal    
DOI: 10.1177/1748006X15588446     Document Type: Conference Paper
Times cited : (73)

References (36)
  • 1
    • 0022102587 scopus 로고
    • Fault tree analysis, methods, and applications - A review
    • Lee WS, Grosh DL, Tillman FA, et al. Fault tree analysis, methods, and applications-a review. IEEE T Reliab 1985; R-34 (3): 194-203.
    • (1985) IEEE T Reliab , vol.34 , Issue.3 , pp. 194-203
    • Lee, W.S.1    Grosh, D.L.2    Tillman, F.A.3
  • 2
    • 84879515307 scopus 로고    scopus 로고
    • An application of fuzzy fault tree analysis to uncontained events of an aero-engine rotor
    • Li YF, Huang HZ, Zhu SP, et al. An application of fuzzy fault tree analysis to uncontained events of an aero-engine rotor. Int J Turbo Jet Eng 2012; 29 (4): 309-315.
    • (2012) Int J Turbo Jet Eng , vol.29 , Issue.4 , pp. 309-315
    • Li, Y.F.1    Huang, H.Z.2    Zhu, S.P.3
  • 3
    • 84883339295 scopus 로고    scopus 로고
    • Fault tree analysis of train rear-end collision accident considering common cause failure
    • Li YF, Mi J, Huang HZ, et al. Fault tree analysis of train rear-end collision accident considering common cause failure. Eksploatacja i Niezawodnosc-Maintenance and Reliability 2013; 15 (4): 403-408.
    • (2013) Eksploatacja i Niezawodnosc - Maintenance and Reliability , vol.15 , Issue.4 , pp. 403-408
    • Li, Y.F.1    Mi, J.2    Huang, H.Z.3
  • 4
    • 84859110655 scopus 로고    scopus 로고
    • A new ordering method of basic events in fault tree analysis
    • Huang HZ, Zhang H, Li YF,. A new ordering method of basic events in fault tree analysis. Qual Reliab Eng Int 2012; 28 (3): 297-305.
    • (2012) Qual Reliab Eng Int , vol.28 , Issue.3 , pp. 297-305
    • Huang, H.Z.1    Zhang, H.2    Li, Y.F.3
  • 5
    • 58749106055 scopus 로고    scopus 로고
    • Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment
    • Rao KD, Gopika V, Rao VVVS, et al. Dynamic fault tree analysis using Monte Carlo simulation in probabilistic safety assessment. Reliab Eng Syst Safe 2009; 94 (4): 872-883.
    • (2009) Reliab Eng Syst Safe , vol.94 , Issue.4 , pp. 872-883
    • Rao, K.D.1    Gopika, V.2    Rao, V.3
  • 6
    • 0026925395 scopus 로고
    • Dynamic fault-tree for fault-tolerant computer systems
    • Dugan JB, Bavuso SJ, Boyd MA,. Dynamic fault-tree for fault-tolerant computer systems. IEEE T Reliab 1992; 41 (3): 363-376.
    • (1992) IEEE T Reliab , vol.41 , Issue.3 , pp. 363-376
    • Dugan, J.B.1    Bavuso, S.J.2    Boyd, M.A.3
  • 7
    • 0034155553 scopus 로고    scopus 로고
    • Developing a low cost high-quality software tool for dynamic fault-tree analysis
    • Dugan JB, Sullivan KJ, Coppit D,. Developing a low cost high-quality software tool for dynamic fault-tree analysis. IEEE T Reliab 2000; 49 (1): 49-59.
    • (2000) IEEE T Reliab , vol.49 , Issue.1 , pp. 49-59
    • Dugan, J.B.1    Sullivan, K.J.2    Coppit, D.3
  • 8
    • 34250156732 scopus 로고    scopus 로고
    • An improved decomposition scheme for assessing the reliability of embedded systems by using dynamic fault trees
    • Huang CY, Chang YR,. An improved decomposition scheme for assessing the reliability of embedded systems by using dynamic fault trees. Reliab Eng Syst Safe 2007; 92 (10): 1403-1412.
    • (2007) Reliab Eng Syst Safe , vol.92 , Issue.10 , pp. 1403-1412
    • Huang, C.Y.1    Chang, Y.R.2
  • 9
    • 77949272703 scopus 로고    scopus 로고
    • Probabilistic algebraic analysis of fault trees with priority dynamic gates and repeated events
    • Merle G, Roussel JM, Lesage JJ, et al. Probabilistic algebraic analysis of fault trees with priority dynamic gates and repeated events. IEEE T Reliab 2010; 59 (1): 250-261.
    • (2010) IEEE T Reliab , vol.59 , Issue.1 , pp. 250-261
    • Merle, G.1    Roussel, J.M.2    Lesage, J.J.3
  • 10
    • 84893645928 scopus 로고    scopus 로고
    • Quantitative analysis of dynamic fault trees based on the structure function
    • Merle G, Roussel JM, Lesage JJ,. Quantitative analysis of dynamic fault trees based on the structure function. Qual Reliab Eng Int 2014; 30 (1): 143-156.
    • (2014) Qual Reliab Eng Int , vol.30 , Issue.1 , pp. 143-156
    • Merle, G.1    Roussel, J.M.2    Lesage, J.J.3
  • 11
    • 84866283853 scopus 로고    scopus 로고
    • A Weibull-based compositional approach for hierarchical dynamic fault trees
    • Chiacchio F, Cacioppo M, D'Urso D, et al. A Weibull-based compositional approach for hierarchical dynamic fault trees. Reliab Eng Syst Safe 2013; 109: 45-52.
    • (2013) Reliab Eng Syst Safe , vol.109 , pp. 45-52
    • Chiacchio, F.1    Cacioppo, M.2    D'Urso, D.3
  • 12
    • 84865500412 scopus 로고    scopus 로고
    • Reliability evaluation of phasor measurement unit using Monte Carlo dynamic fault tree method
    • Zhang P, Chan KW,. Reliability evaluation of phasor measurement unit using Monte Carlo dynamic fault tree method. IEEE T Smart Grid 2012; 3 (3): 1235-1243.
    • (2012) IEEE T Smart Grid , vol.3 , Issue.3 , pp. 1235-1243
    • Zhang, P.1    Chan, K.W.2
  • 13
    • 78751572640 scopus 로고    scopus 로고
    • A methodology of alarm filtering using dynamic fault tree
    • Simeu-Abazi Z, Lefebvre A, Derain JP,. A methodology of alarm filtering using dynamic fault tree. Reliab Eng Syst Safe 2011; 96 (2): 257-266.
    • (2011) Reliab Eng Syst Safe , vol.96 , Issue.2 , pp. 257-266
    • Simeu-Abazi, Z.1    Lefebvre, A.2    Derain, J.P.3
  • 14
    • 9444266483 scopus 로고    scopus 로고
    • A discrete-time Bayesian network reliability modeling and analysis framework
    • Boudali H, Dugan JB,. A discrete-time Bayesian network reliability modeling and analysis framework. Reliab Eng Syst Safe 2005; 87 (3): 337-349.
    • (2005) Reliab Eng Syst Safe , vol.87 , Issue.3 , pp. 337-349
    • Boudali, H.1    Dugan, J.B.2
  • 15
    • 33644900957 scopus 로고    scopus 로고
    • A continuous-time Bayesian network reliability modeling, and analysis framework
    • Boudali H, Dugan JB,. A continuous-time Bayesian network reliability modeling, and analysis framework. IEEE T Reliab 2006; 55 (1): 86-97.
    • (2006) IEEE T Reliab , vol.55 , Issue.1 , pp. 86-97
    • Boudali, H.1    Dugan, J.B.2
  • 16
    • 84865528444 scopus 로고    scopus 로고
    • Using Bayesian networks in reliability evaluation for subsea blowout preventer control system
    • Cai B, Liu Y, Liu Z, et al. Using Bayesian networks in reliability evaluation for subsea blowout preventer control system. Reliab Eng Syst Safe 2012; 108: 32-41.
    • (2012) Reliab Eng Syst Safe , vol.108 , pp. 32-41
    • Cai, B.1    Liu, Y.2    Liu, Z.3
  • 17
    • 84866302150 scopus 로고    scopus 로고
    • Risk-based design of process systems using discrete-time Bayesian networks
    • Khakzad N, Khan F, Amyotte P,. Risk-based design of process systems using discrete-time Bayesian networks. Reliab Eng Syst Safe 2013; 109: 5-17.
    • (2013) Reliab Eng Syst Safe , vol.109 , pp. 5-17
    • Khakzad, N.1    Khan, F.2    Amyotte, P.3
  • 18
    • 33645236761 scopus 로고    scopus 로고
    • Designing a Bayesian network for preventive maintenance from expert opinions in a rapid and reliable way
    • Celeux G, Corset F, Lannoy A, et al. Designing a Bayesian network for preventive maintenance from expert opinions in a rapid and reliable way. Reliab Eng Syst Safe 2006; 91: 849-856.
    • (2006) Reliab Eng Syst Safe , vol.91 , pp. 849-856
    • Celeux, G.1    Corset, F.2    Lannoy, A.3
  • 19
    • 36248973174 scopus 로고    scopus 로고
    • Software maintenance project delays prediction using Bayesian networks
    • De Melo ACV, Sanchez AJ,. Software maintenance project delays prediction using Bayesian networks. Expert Syst Appl 2008; 34 (2): 908-919.
    • (2008) Expert Syst Appl , vol.34 , Issue.2 , pp. 908-919
    • De Melo, A.C.V.1    Sanchez, A.J.2
  • 20
    • 34250192605 scopus 로고    scopus 로고
    • A fully Bayesian approach for combining multi-level information in multi-state fault tree quantification
    • Graves TL, Hamada MS, Klamann R, et al. A fully Bayesian approach for combining multi-level information in multi-state fault tree quantification. Reliab Eng Syst Safe 2007; 92: 1476-1483.
    • (2007) Reliab Eng Syst Safe , vol.92 , pp. 1476-1483
    • Graves, T.L.1    Hamada, M.S.2    Klamann, R.3
  • 21
    • 34250158140 scopus 로고    scopus 로고
    • Bayesian networks for multilevel system reliability
    • Wilson AG, Huzurbazar AV,. Bayesian networks for multilevel system reliability. Reliab Eng Syst Safe 2007; 92: 1413-1420.
    • (2007) Reliab Eng Syst Safe , vol.92 , pp. 1413-1420
    • Wilson, A.G.1    Huzurbazar, A.V.2
  • 22
    • 39749155904 scopus 로고    scopus 로고
    • RADYBAN: A tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks
    • Montani S, Portinale L, Bobbio A, et al. RADYBAN: a tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks. Reliab Eng Syst Safe 2008; 93: 922-932.
    • (2008) Reliab Eng Syst Safe , vol.93 , pp. 922-932
    • Montani, S.1    Portinale, L.2    Bobbio, A.3
  • 23
    • 39749093206 scopus 로고    scopus 로고
    • Modelling dependable systems using hybrid Bayesian networks
    • Neil M, Tailor M, Marquez D, et al. Modelling dependable systems using hybrid Bayesian networks. Reliab Eng Syst Safe 2008; 93: 933-939.
    • (2008) Reliab Eng Syst Safe , vol.93 , pp. 933-939
    • Neil, M.1    Tailor, M.2    Marquez, D.3
  • 25
    • 39749169806 scopus 로고    scopus 로고
    • Modelling the reliability of search and rescue operations with Bayesian Belief Networks
    • Norrington L, Quigley J, Russell A, et al. Modelling the reliability of search and rescue operations with Bayesian Belief Networks. Reliab Eng Syst Safe 2008; 93: 940-949.
    • (2008) Reliab Eng Syst Safe , vol.93 , pp. 940-949
    • Norrington, L.1    Quigley, J.2    Russell, A.3
  • 26
    • 39749115043 scopus 로고    scopus 로고
    • A Bayesian Belief Network modelling of organizational factors in risk analysis: A case study in maritime transportation
    • Trucco P, Cagno E, Ruggeri F, et al. A Bayesian Belief Network modelling of organizational factors in risk analysis: a case study in maritime transportation. Reliab Eng Syst Safe 2008; 93: 823-834.
    • (2008) Reliab Eng Syst Safe , vol.93 , pp. 823-834
    • Trucco, P.1    Cagno, E.2    Ruggeri, F.3
  • 27
    • 54149108582 scopus 로고    scopus 로고
    • On the use of hybrid causal logic method in offshore risk analysis
    • Røed W, Mosleh A, Vinnem JE, et al. On the use of hybrid causal logic method in offshore risk analysis. Reliab Eng Syst Safe 2008; 94: 445-455.
    • (2008) Reliab Eng Syst Safe , vol.94 , pp. 445-455
    • Røed, W.1    Mosleh, A.2    Vinnem, J.E.3
  • 29
    • 84904555313 scopus 로고    scopus 로고
    • A new fault tree analysis approach based on imprecise reliability model
    • Liu Z, Li YF, He LP, et al. A new fault tree analysis approach based on imprecise reliability model. Proc IMechE, Part O: J Risk and Reliability 2014; 228 (4): 371-381.
    • (2014) Proc IMechE, Part O: J Risk and Reliability , vol.228 , Issue.4 , pp. 371-381
    • Liu, Z.1    Li, Y.F.2    He, L.P.3
  • 30
    • 84885459723 scopus 로고    scopus 로고
    • Importance identification for fault trees based on possibilistic information measurements
    • He LP, Huang HZ, Pang Y, et al. Importance identification for fault trees based on possibilistic information measurements. J Intell Fuzzy Syst 2013; 25 (4): 1013-1026.
    • (2013) J Intell Fuzzy Syst , vol.25 , Issue.4 , pp. 1013-1026
    • He, L.P.1    Huang, H.Z.2    Pang, Y.3
  • 31
    • 84866624496 scopus 로고    scopus 로고
    • Evidential networks for fault tree analysis with imprecise knowledge
    • Yang J, Huang HZ, Liu Y, et al. Evidential networks for fault tree analysis with imprecise knowledge. Int J Turbo Jet Eng 2012; 29 (2): 111-122.
    • (2012) Int J Turbo Jet Eng , vol.29 , Issue.2 , pp. 111-122
    • Yang, J.1    Huang, H.Z.2    Liu, Y.3
  • 32
    • 2142808778 scopus 로고    scopus 로고
    • Posbist fault tree analysis of coherent systems
    • Huang HZ, Tong X, Zuo MJ,. Posbist fault tree analysis of coherent systems. Reliab Eng Syst Safe 2004; 84 (2): 141-148.
    • (2004) Reliab Eng Syst Safe , vol.84 , Issue.2 , pp. 141-148
    • Huang, H.Z.1    Tong, X.2    Zuo, M.J.3
  • 33
    • 84858342275 scopus 로고    scopus 로고
    • A fuzzy-Bayesian model for supplier selection
    • Ferreira L, Borenstein D,. A fuzzy-Bayesian model for supplier selection. Expert Syst Appl 2012; 39: 7834-7844.
    • (2012) Expert Syst Appl , vol.39 , pp. 7834-7844
    • Ferreira, L.1    Borenstein, D.2
  • 34
    • 82255175688 scopus 로고    scopus 로고
    • Fuzzy-Bayesian network for refrigeration compressor performance prediction and test time reduction
    • Penz CA, Flesch CA, Nassar SM, et al. Fuzzy-Bayesian network for refrigeration compressor performance prediction and test time reduction. Expert Syst Appl 2012; 39: 4268-4273.
    • (2012) Expert Syst Appl , vol.39 , pp. 4268-4273
    • Penz, C.A.1    Flesch, C.A.2    Nassar, S.M.3
  • 35
    • 84860857513 scopus 로고    scopus 로고
    • A fuzzy Bayesian network approach to improve the quantification of organizational influences in HRA frameworks
    • Li PC, Chen GH, Dai LC, et al. A fuzzy Bayesian network approach to improve the quantification of organizational influences in HRA frameworks. Safety Sci 2012; 50: 1569-1583.
    • (2012) Safety Sci , vol.50 , pp. 1569-1583
    • Li, P.C.1    Chen, G.H.2    Dai, L.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.