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Volumn 75, Issue 4, 1997, Pages 210-216

Data mining for failure diagnosis of process units by learning probabilistic networks

Author keywords

Data mining; Failure diagnosis; Knowledge discovery in databases; Probabilistic networks

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DATA ACQUISITION; DATABASE SYSTEMS; EXPERT SYSTEMS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; NEURAL NETWORKS; PROBABILITY; RISK ASSESSMENT;

EID: 0031272120     PISSN: 09575820     EISSN: None     Source Type: Journal    
DOI: 10.1205/095758297529084     Document Type: Article
Times cited : (11)

References (33)
  • 2
    • 0022043416 scopus 로고
    • Eliminating potential process hazards
    • Kletz, T. A., 1985, Eliminating potential process hazards, Chem Eng, April: 48.
    • (1985) Chem Eng, April , pp. 48
    • Kletz, T.A.1
  • 5
    • 0030174520 scopus 로고    scopus 로고
    • HAZOPExpert: An expert system for automating HAZOP analysis
    • Vaidhyanathan, R., Venkatasubramanian, V. and Dyke, F. T., 1996, HAZOPExpert: an expert system for automating HAZOP analysis, Proc Safe Prog, 15 (2): 80.
    • (1996) Proc Safe Prog , vol.15 , Issue.2 , pp. 80
    • Vaidhyanathan, R.1    Venkatasubramanian, V.2    Dyke, F.T.3
  • 6
    • 0029703048 scopus 로고    scopus 로고
    • Fuzzy qualitative simulation in safety and operability studies of process plants
    • Wang, X. Z., Yang, S. A., Yang, S. H. and McGreavy, C., 1996, Fuzzy qualitative simulation in safety and operability studies of process plants, Comput Chem Eng, 20: s671.
    • (1996) Comput Chem Eng , vol.20
    • Wang, X.Z.1    Yang, S.A.2    Yang, S.H.3    McGreavy, C.4
  • 7
    • 0029226804 scopus 로고
    • Qualitative process modelling - A fuzzy signed directed graph method
    • Wang, X. Z., Yang, S. A., Veloso, E., Lu, M .L. and McGreavy, C., 1995, Qualitative process modelling - a fuzzy signed directed graph method, Comput Chem Eng, 19: s735.
    • (1995) Comput Chem Eng , vol.19
    • Wang, X.Z.1    Yang, S.A.2    Veloso, E.3    Lu, M.L.4    McGreavy, C.5
  • 8
    • 0024857155 scopus 로고
    • A prototype expert system for hazard and operability studies
    • Weatherill, T. and Cameron, I. T., 1989, A prototype expert system for hazard and operability studies, Comput Chem Eng, 13: 1229.
    • (1989) Comput Chem Eng , vol.13 , pp. 1229
    • Weatherill, T.1    Cameron, I.T.2
  • 9
    • 0024700729 scopus 로고
    • Qualitative simulation and fault propagation in process plants
    • Waters, A. and Ponton, J. W., 1989, Qualitative simulation and fault propagation in process plants, Chem Eng Res Des, 67 (4): 407.
    • (1989) Chem Eng Res des , vol.67 , Issue.4 , pp. 407
    • Waters, A.1    Ponton, J.W.2
  • 10
    • 0029208435 scopus 로고
    • Model-based approach to automated hazard identification of chemical plants
    • Catino, C. A. and Ungar, L. H., 1995, Model-based approach to automated hazard identification of chemical plants, AICHE J, 41 (1): 97.
    • (1995) AICHE J , vol.41 , Issue.1 , pp. 97
    • Catino, C.A.1    Ungar, L.H.2
  • 11
    • 0027676003 scopus 로고
    • Qualitative reasoning in chemical and safety engineering
    • Hurme, M., Dohnal, M. and Järveläinen, M., 1992, Qualitative reasoning in chemical and safety engineering, Comput Chem Eng, 16: s441.
    • (1992) Comput Chem Eng , vol.16
    • Hurme, M.1    Dohnal, M.2    Järveläinen, M.3
  • 17
    • 0039924130 scopus 로고
    • Data mining applications in BT
    • Shortlan, R. and Scarfe, R., 1994, Data mining applications in BT, BT Technol J, 12 (4): 17.
    • (1994) BT Technol J , vol.12 , Issue.4 , pp. 17
    • Shortlan, R.1    Scarfe, R.2
  • 18
    • 0001916227 scopus 로고
    • Properties of Bayesian network learning algorithms
    • Lopez de Mantaras, R. and Poole, D. (eds)
    • Bouckaert, R. B., 1995, Properties of Bayesian network learning algorithms, in Lopez de Mantaras, R. and Poole, D. (eds), Uncertainty in Artificial Intelligence: Proc Ninth Conf 102.
    • (1995) Uncertainty in Artificial Intelligence: Proc Ninth Conf , pp. 102
    • Bouckaert, R.B.1
  • 19
    • 0030124955 scopus 로고    scopus 로고
    • A guide to the literature on learning probabilistic networks from data
    • Buntine, W., 1996, A guide to the literature on learning probabilistic networks from data, IEEE Trans Knowl Data Eng, 8 (2): 195.
    • (1996) IEEE Trans Knowl Data Eng , vol.8 , Issue.2 , pp. 195
    • Buntine, W.1
  • 20
    • 46149134436 scopus 로고
    • Fusion, propagation, and structuring in belief networks
    • Pearl, J., 1986, Fusion, propagation, and structuring in belief networks, AI, 29: 241.
    • (1986) AI , vol.29 , pp. 241
    • Pearl, J.1
  • 21
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper, G. F. and Herskovits, E., 1992, A Bayesian method for the induction of probabilistic networks from data, Machine Learning, 9: 309.
    • (1992) Machine Learning , vol.9 , pp. 309
    • Cooper, G.F.1    Herskovits, E.2
  • 22
    • 0343331064 scopus 로고
    • Belief network construction using the minimum description length principle
    • Bouckaert, R. B., 1993, Belief network construction using the minimum description length principle, Proc ECSQARU, 41.
    • (1993) Proc ECSQARU , pp. 41
    • Bouckaert, R.B.1
  • 26
  • 27
    • 44049116681 scopus 로고
    • Connectionist learning of belief networks
    • Neal, R. M., 1992, Connectionist learning of belief networks, AI, 56: 71.
    • (1992) AI , vol.56 , pp. 71
    • Neal, R.M.1
  • 28
    • 0001867238 scopus 로고
    • Interpreting neural-network connection weights
    • April
    • Garson, G. D., 1991, Interpreting neural-network connection weights, AI Expert, April: 47.
    • (1991) AI Expert , pp. 47
    • Garson, G.D.1
  • 29
    • 0029218166 scopus 로고
    • Flow of information through an artificial neural network
    • Guimarães, P. R. B. and McGreavy, C., 1995, Flow of information through an artificial neural network, Comput Chem Eng, 19: s741.
    • (1995) Comput Chem Eng , vol.19
    • Guimarães, P.R.B.1    McGreavy, C.2
  • 30
    • 0024905756 scopus 로고
    • A neural network methodology for process fault diagnosis
    • Venkatasubramanian, V. and Chan, K., 1989, A neural network methodology for process fault diagnosis, AICHE J, 35: 1993.
    • (1989) AICHE J , vol.35 , pp. 1993
    • Venkatasubramanian, V.1    Chan, K.2
  • 32
    • 85030043367 scopus 로고    scopus 로고
    • C5.0
    • C5.0, 1997, http://www.rulequest.com/
    • (1997)
  • 33
    • 72449173708 scopus 로고    scopus 로고
    • Data-Mining-Tools, 1997, http://www.dit.csiro.au/∼gjw/dmtools.html
    • (1997) Data-Mining-Tools


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.