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Volumn 20, Issue 8, 2010, Pages 902-911

Fault detection and isolation of faults in a multivariate process with Bayesian network

Author keywords

Bayesian network; Multivariate SPC; T2 decomposition

Indexed keywords

FAULT DETECTION AND ISOLATION; MULTIVARIATE CONTROL CHARTS; MULTIVARIATE PROCESS; MULTIVARIATE SPC; NETWORK STRUCTURES;

EID: 77955511680     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2010.06.001     Document Type: Article
Times cited : (89)

References (35)
  • 1
    • 39449085018 scopus 로고    scopus 로고
    • 2 decomposition for multivariate process monitoring and diagnosis
    • 2 decomposition for multivariate process monitoring and diagnosis Journal of Quality Technology 40 1 2008 46 58
    • (2008) Journal of Quality Technology , vol.40 , Issue.1 , pp. 46-58
    • Li, J.1    Jin, J.2    Shi, J.3
  • 4
    • 0037443770 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis part I: Quantitative model-based methods
    • DOI 10.1016/S0098-1354(02)00160-6, PII S0098135402001606
    • V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S. Kavuri A review of process fault detection and diagnosis part I: quantitative model-based methods Computers and Chemical Engineering 27 3 2003 293 311 (Pubitemid 36285962)
    • (2003) Computers and Chemical Engineering , vol.27 , Issue.3 , pp. 293-311
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Yin, K.3    Kavuri, S.N.4
  • 5
    • 0037443771 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis part II: Qualitative models and search strategies
    • DOI 10.1016/S0098-1354(02)00161-8, PII S0098135402001618
    • V. Venkatasubramanian, R. Rengaswamy, and S. Kavuri A review of process fault detection and diagnosis part II: qualitative models and search strategies Computers and Chemical Engineering 27 3 2003 313 326 (Pubitemid 36285963)
    • (2003) Computers and Chemical Engineering , vol.27 , Issue.3 , pp. 313-326
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Kavuri, S.N.3
  • 6
    • 16244364814 scopus 로고    scopus 로고
    • Application of a hybrid case-based reasoning approach in electroplating industry
    • F.T. Chan Application of a hybrid case-based reasoning approach in electroplating industry Expert Systems with Applications 29 1 2005 121 130
    • (2005) Expert Systems with Applications , vol.29 , Issue.1 , pp. 121-130
    • Chan, F.T.1
  • 8
    • 0037443803 scopus 로고    scopus 로고
    • A review of process fault detection and diagnosis part III: Process history based methods
    • DOI 10.1016/S0098-1354(02)00162-X, PII S009813540200162X
    • V. Venkatasubramanian, R. Rengaswamy, S. Kavuri, and K. Yin A review of process fault detection and diagnosis part III: process history based methods Computers and Chemical Engineering 27 3 2003 327 346 (Pubitemid 36285964)
    • (2003) Computers and Chemical Engineering , vol.27 , Issue.3 , pp. 327-346
    • Venkatasubramanian, V.1    Rengaswamy, R.2    Kavuri, S.N.3    Yin, K.4
  • 13
    • 0033671795 scopus 로고    scopus 로고
    • Standardized q-statistic for improved sensitivity in the monitoring of residuals in MSPC
    • J. Westerhuis, S. Gurden, and A. Smilde Standardized q-statistic for improved sensitivity in the monitoring of residuals in MSPC Journal of Chemometrics 14 4 2000 335 349
    • (2000) Journal of Chemometrics , vol.14 , Issue.4 , pp. 335-349
    • Westerhuis, J.1    Gurden, S.2    Smilde, A.3
  • 15
    • 0032118892 scopus 로고    scopus 로고
    • Multiscale PCA with application to multivariate statistical process monitoring
    • B.R. Bakshi Multiscale PCA with application to multivariate statistical process monitoring AIChE Journal 44 1998 1596 1610
    • (1998) AIChE Journal , vol.44 , pp. 1596-1610
    • Bakshi, B.R.1
  • 16
    • 0037084628 scopus 로고    scopus 로고
    • Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem
    • M. Kano, K. Nagao, S. Hasebe, I. Hashimoto, H. Ohno, R. Strauss, and B. Bakshi Comparison of multivariate statistical process monitoring methods with applications to the Eastman challenge problem Computers and Chemical Engineering 26 2 2002 161 174
    • (2002) Computers and Chemical Engineering , vol.26 , Issue.2 , pp. 161-174
    • Kano, M.1    Nagao, K.2    Hasebe, S.3    Hashimoto, I.4    Ohno, H.5    Strauss, R.6    Bakshi, B.7
  • 17
    • 42949143535 scopus 로고    scopus 로고
    • Fault detection and identification with a new feature selection based on mutual information
    • S. Verron, T. Tiplica, and A. Kobi Fault detection and identification with a new feature selection based on mutual information Journal of Process Control 18 5 2008 479 490
    • (2008) Journal of Process Control , vol.18 , Issue.5 , pp. 479-490
    • Verron, S.1    Tiplica, T.2    Kobi, A.3
  • 23
    • 0041377763 scopus 로고    scopus 로고
    • Stable local computation with conditional Gaussian distributions
    • S. Lauritzen, and F. Jensen Stable local computation with conditional Gaussian distributions Statistics and Computing 11 2 2001 191 203
    • (2001) Statistics and Computing , vol.11 , Issue.2 , pp. 191-203
    • Lauritzen, S.1    Jensen, F.2
  • 24
    • 52949108461 scopus 로고    scopus 로고
    • Belief update in CLG Bayesian networks with lazy propagation
    • A. Madsen Belief update in CLG Bayesian networks with lazy propagation International Journal of Approximate Reasoning 49 2 2008 503 521
    • (2008) International Journal of Approximate Reasoning , vol.49 , Issue.2 , pp. 503-521
    • Madsen, A.1
  • 27
    • 0000618242 scopus 로고
    • Regression adjustment for variables in multivariate quality control
    • D.M. Hawkins Regression adjustment for variables in multivariate quality control Journal of Quality Technology 25 3 1993 170 182
    • (1993) Journal of Quality Technology , vol.25 , Issue.3 , pp. 170-182
    • Hawkins, D.M.1
  • 29
    • 0027561446 scopus 로고
    • Plant-wide industrial process control problem
    • J. Downs, and E. Vogel Plant-wide industrial process control problem Computers and Chemical Engineering 17 3 1993 245 255
    • (1993) Computers and Chemical Engineering , vol.17 , Issue.3 , pp. 245-255
    • Downs, J.1    Vogel, E.2
  • 30
    • 2342505830 scopus 로고    scopus 로고
    • Fault diagnosis based on fisher discriminant analysis and support vector machines
    • L. Chiang, M. Kotanchek, and A. Kordon Fault diagnosis based on fisher discriminant analysis and support vector machines Computers and Chemical Engineering 28 8 2004 1389 1401
    • (2004) Computers and Chemical Engineering , vol.28 , Issue.8 , pp. 1389-1401
    • Chiang, L.1    Kotanchek, M.2    Kordon, A.3
  • 31
    • 25844517176 scopus 로고    scopus 로고
    • Knowledge incorporated support vector machines to detect faults in Tennessee Eastman process
    • A. Kulkarni, V. Jayaraman, and B. Kulkarni Knowledge incorporated support vector machines to detect faults in Tennessee Eastman process Computers and Chemical Engineering 29 10 2005 2128 2133
    • (2005) Computers and Chemical Engineering , vol.29 , Issue.10 , pp. 2128-2133
    • Kulkarni, A.1    Jayaraman, V.2    Kulkarni, B.3
  • 33
    • 0029256836 scopus 로고
    • Plant-wide control of the Tennessee Eastman problem
    • P. Lyman, and C. Georgakis Plant-wide control of the Tennessee Eastman problem Computers and Chemical Engineering 19 3 1995 321 331
    • (1995) Computers and Chemical Engineering , vol.19 , Issue.3 , pp. 321-331
    • Lyman, P.1    Georgakis, C.2
  • 35
    • 33947524259 scopus 로고    scopus 로고
    • Estimating high-dimensional directed acyclic graphs with the PC-algorithm
    • M. Kalisch, and P. Buhlmann Estimating high-dimensional directed acyclic graphs with the PC-algorithm Journal of Machine Learning Research 8 2007 613 636
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 613-636
    • Kalisch, M.1    Buhlmann, P.2


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