메뉴 건너뛰기




Volumn 268, Issue , 2007, Pages

Compiling dyanamic fault trees into dynamic Bayesian nets for reliability analysis: The radyban tool

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC CONVERSION; BAYESIAN NETS; DYNAMIC BAYESIAN NETWORKS; DYNAMIC FAULT TREES; MODULAR ALGORITHMS; ON DYNAMICS; RELIABILITY ENGINEERS; RELIABILITY MEASURE;

EID: 84876716629     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (9)

References (22)
  • 1
    • 0035283768 scopus 로고    scopus 로고
    • Improving the analysis of dependable systems by mapping Fault Trees into Bayesian Networks
    • DOI 10.1016/S0951-8320(00)00077-6
    • A. Bobbio, L. Portinale, M. Minichino, and E. Ciancamerla. Improving the analysis of dependable systems by mapping fault trees into bayesian networks. Reliability Engineering and System Safety, 71:249-260, 2001. (Pubitemid 32077203)
    • (2001) Reliability Engineering and System Safety , vol.71 , Issue.3 , pp. 249-260
    • Bobbio, A.1    Portinale, L.2    Minichino, M.3    Ciancamerla, E.4
  • 4
    • 0002436850 scopus 로고    scopus 로고
    • Tractable inference for complex stochastic processes
    • X. Boyen and D. Koller. Tractable inference for complex stochastic processes. In Proceedings UAI 1988, pages 33-42, 1998.
    • (1998) Proceedings UAI 1988 , pp. 33-42
    • Boyen, X.1    Koller, D.2
  • 5
    • 84990553353 scopus 로고
    • A model for reasoning about persistence and causation
    • T. Dean and K. Kanazawa. A model for reasoning about persistence and causation. Computational Intelligence, 5(3): 142-150, 1989.
    • (1989) Computational Intelligence , vol.5 , Issue.3 , pp. 142-150
    • Dean, T.1    Kanazawa, K.2
  • 7
    • 0034155553 scopus 로고    scopus 로고
    • Developing a low-cost high-quality software tool for dynamic fault-tree analysis
    • J. Bechta Dugan, K.J. Sullivan, and D. Coppit. Developing a low-cost high-quality software tool for dynamic fault-tree analysis. IEEE Transactions on Reliability, 49(1): 49-59, 2000.
    • (2000) IEEE Transactions on Reliability , vol.49 , Issue.1 , pp. 49-59
    • Bechta Dugan, J.1    Sullivan, K.J.2    Coppit, D.3
  • 11
    • 0005059765 scopus 로고
    • Dhugin: A computational system for dynamic time-sliced Bayesian networks
    • U. Kjaerulff. dhugin: a computational system for dynamic time-sliced bayesian networks. International Journal of Forecasting, 11:89-101, 1995.
    • (1995) International Journal of Forecasting , vol.11 , pp. 89-101
    • Kjaerulff, U.1
  • 12
    • 33748310590 scopus 로고    scopus 로고
    • Bayesian networks in reliability
    • DOI 10.1016/j.ress.2005.11.037, PII S0951832005001985
    • H. Langseth and L. Portinale. Bayesian networks in reliability. Reliability Engineering and System Safety, 92(1): 92-108, 2007. (Pubitemid 44332140)
    • (2007) Reliability Engineering and System Safety , vol.92 , Issue.1 , pp. 92-108
    • Langseth, H.1    Portinale, L.2
  • 14
    • 33847268390 scopus 로고    scopus 로고
    • Dynamic Bayesian networks for modeling advanced fault tree features in dependability analysis
    • Tri City
    • S. Montani, L. Portinale, and A. Bobbio. Dynamic bayesian networks for modeling advanced fault tree features in dependability analysis. In Proc. ESREL 2005, Tri City, pages 1414-1422, 2005.
    • (2005) Proc. ESREL 2005 , pp. 1414-1422
    • Montani, S.1    Portinale, L.2    Bobbio, A.3
  • 15
    • 38149106226 scopus 로고    scopus 로고
    • RADYBAN: A tool for reliability analysis of dynamic fault trees through conversion into dynamic Bayesian networks
    • in press
    • S. Montani, L. Portinale, A. Bobbio, and D. Codetta-Raiteri. RADYBAN: a tool for reliability analysis of dynamic fault trees through conversion into dynamic bayesian networks. Reliability Engineering and System Safety, in press, 2007.
    • (2007) Reliability Engineering and System Safety
    • Montani, S.1    Portinale, L.2    Bobbio, A.3    Codetta-Raiteri, D.4
  • 17
    • 0000049635 scopus 로고    scopus 로고
    • Exploiting causal independence in bayesian network inference
    • D. Poole N.L. Zhang. Exploiting causal independence in Bayesian network inference. Journal of Artifical Intelligence Research, 5:301-328, 1996. (Pubitemid 126646171)
    • (1996) Journal of Artificial Intelligence Research , vol.5 , pp. 301-328
    • Zhang, N.L.1    Poole, D.2
  • 18
    • 0001781779 scopus 로고
    • Dynamic network models for forecasting
    • P. Dagum, A. Galper, and E. Horwitz. Dynamic network models for forecasting. In Proc. UAI'92, pages 41-48, 1992.
    • (1992) Proc. UAI'92 , pp. 41-48
    • Dagum, P.1    Galper, A.2    Horwitz, E.3
  • 21
    • 84948981656 scopus 로고    scopus 로고
    • Bayesian networks for reliability analysis of complex systems
    • Progress in Artificial Intelligence - IBERAMIA 98
    • J.G. Torres-Toledano and L.E. Sucar. Bayesian networks for reliability analysis of complex systems. In Lecture Notes in Artificial Intelligence, volume 1484, pages 195-206. Springer Verlag, Berlin, 1998. (Pubitemid 128145621)
    • (1998) Lecture Notes in Computer Science , Issue.1484 , pp. 195-206
    • Torres-Toledano, J.G.1    Sucar, L.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.