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Volumn 61, Issue 18, 2006, Pages 6109-6132

Online fault diagnosis and state identification during process transitions using dynamic locus analysis

Author keywords

Abnormal situation management; Dynamic time warping; Process supervision; Sequence comparison; Signal comparison; Unsteady state operation

Indexed keywords

ALGORITHMS; COMPUTER PROGRAMMING; FACTORY AUTOMATION; INDUSTRIAL PLANTS; ONLINE SYSTEMS; SIGNAL PROCESSING;

EID: 33746297394     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2006.05.037     Document Type: Article
Times cited : (53)

References (29)
  • 1
    • 0036466502 scopus 로고    scopus 로고
    • Dynamic process fault monitoring based on neural network and PCA
    • Chen J.H., and Liao C.M. Dynamic process fault monitoring based on neural network and PCA. Journal of Process Control 12 2 (2002) 277-289
    • (2002) Journal of Process Control , vol.12 , Issue.2 , pp. 277-289
    • Chen, J.H.1    Liao, C.M.2
  • 2
    • 0037470096 scopus 로고    scopus 로고
    • Process monitoring using causal map and multivariate statistics: fault detection and identification
    • Chiang L.H., and Braatz R.D. Process monitoring using causal map and multivariate statistics: fault detection and identification. Chemometrics and Intelligent Laboratory Systems 65 (2003) 159-178
    • (2003) Chemometrics and Intelligent Laboratory Systems , vol.65 , pp. 159-178
    • Chiang, L.H.1    Braatz, R.D.2
  • 3
    • 33746285679 scopus 로고    scopus 로고
    • Colomer, J., Melendez, J., Gamero, F.I., 2002. Pattern recognition based on episodes and DTW. Application to diagnosis of a level control system, Sixteenth International Workshop on Qualitative Reasoning, Catalunya, Spain.
  • 4
    • 33746277131 scopus 로고    scopus 로고
    • Honeywell, 2001. Guide to the ShadowPlant FCCU Standard Model.
  • 7
    • 0035882158 scopus 로고    scopus 로고
    • A new multivariate statistical process monitoring method using principal component analysis
    • Kano M., Hasebe S., Hashimoto I., and Ohno H. A new multivariate statistical process monitoring method using principal component analysis. Computers and Chemical Engineering 25 7-8 (2001) 1103-1113
    • (2001) Computers and Chemical Engineering , vol.25 , Issue.7-8 , pp. 1103-1113
    • Kano, M.1    Hasebe, S.2    Hashimoto, I.3    Ohno, H.4
  • 8
    • 0032188360 scopus 로고    scopus 로고
    • Off-line diagnosis of deterministic faults in continuous dynamic multivariable processes using speech recognition methods
    • Kassidas A., Taylor P.A., and MacGregor J.F. Off-line diagnosis of deterministic faults in continuous dynamic multivariable processes using speech recognition methods. Journal of Process Control 8 5-6 (1998) 381-393
    • (1998) Journal of Process Control , vol.8 , Issue.5-6 , pp. 381-393
    • Kassidas, A.1    Taylor, P.A.2    MacGregor, J.F.3
  • 10
    • 0028431355 scopus 로고
    • Base control for the Tennessee Eastman problem
    • McAvoy T.J., and Ye N. Base control for the Tennessee Eastman problem. Computers and Chemical Engineering 18 5 (1994) 383-413
    • (1994) Computers and Chemical Engineering , vol.18 , Issue.5 , pp. 383-413
    • McAvoy, T.J.1    Ye, N.2
  • 13
  • 14
    • 0028483476 scopus 로고
    • Monitoring batch processes using multiway principal component Analysis
    • Nomikos P., and Macgregor J.F. Monitoring batch processes using multiway principal component Analysis. A.I.Ch.E. Journal 40 8 (1994) 1361-1375
    • (1994) A.I.Ch.E. Journal , vol.40 , Issue.8 , pp. 1361-1375
    • Nomikos, P.1    Macgregor, J.F.2
  • 15
    • 33746275361 scopus 로고    scopus 로고
    • Qian, M.S., 2005. Efficient methodologies for real-time state identification during process transitions, Ph.D. Thesis, National University of Singapore, Singapore.
  • 16
    • 0031062026 scopus 로고    scopus 로고
    • Diagnosis of process disturbances by statistical distance and angle measures
    • Raich A., and Cinar A. Diagnosis of process disturbances by statistical distance and angle measures. Computers and Chemical Engineering 21 6 (1997) 661-673
    • (1997) Computers and Chemical Engineering , vol.21 , Issue.6 , pp. 661-673
    • Raich, A.1    Cinar, A.2
  • 18
    • 33746313331 scopus 로고    scopus 로고
    • Singhal, A., 2003. Tennessee Eastman simulation model: 〈http://www.chemengr.ucsb.edu/∼ceweb/computing/TE/tesimulation.htm〉.
  • 19
    • 0036804076 scopus 로고    scopus 로고
    • Pattern matching in historical batch data using PCA
    • Singhal A., and Seborg D.E. Pattern matching in historical batch data using PCA. IEEE Control Systems Magazine 22 5 (2002) 53-63
    • (2002) IEEE Control Systems Magazine , vol.22 , Issue.5 , pp. 53-63
    • Singhal, A.1    Seborg, D.E.2
  • 20
    • 22544457628 scopus 로고    scopus 로고
    • Offline temporal signal comparison using singular points augmented time warping
    • Srinivasan R., and Qian M.S. Offline temporal signal comparison using singular points augmented time warping. Industrial and Engineering Chemistry Research 44 13 (2005) 4697-4716
    • (2005) Industrial and Engineering Chemistry Research , vol.44 , Issue.13 , pp. 4697-4716
    • Srinivasan, R.1    Qian, M.S.2
  • 21
    • 1942484899 scopus 로고    scopus 로고
    • Dynamic PCA based methodology for clustering process states in agile chemical plants
    • Srinivasan R., Wang C., Ho W.K., and Lim K.W. Dynamic PCA based methodology for clustering process states in agile chemical plants. Industrial and Engineering Chemistry Research 43 9 (2004) 2123-2139
    • (2004) Industrial and Engineering Chemistry Research , vol.43 , Issue.9 , pp. 2123-2139
    • Srinivasan, R.1    Wang, C.2    Ho, W.K.3    Lim, K.W.4
  • 23
    • 10644232347 scopus 로고    scopus 로고
    • Context-based recognition of process states using neural networks
    • Srinivasan R., Wang C., Ho W.K., and Lim K.W. Context-based recognition of process states using neural networks. Chemical Engineering Science 60 4 (2005) 935-949
    • (2005) Chemical Engineering Science , vol.60 , Issue.4 , pp. 935-949
    • Srinivasan, R.1    Wang, C.2    Ho, W.K.3    Lim, K.W.4
  • 24
    • 15744402464 scopus 로고    scopus 로고
    • Neural Network Systems for Multi-dimensional Temporal Pattern Classification
    • Srinivasan R., Wang C., Ho W.K., and Lim K.W. Neural Network Systems for Multi-dimensional Temporal Pattern Classification. Computers and Chemical Engineering 29 5 (2005) 965-981
    • (2005) Computers and Chemical Engineering , vol.29 , Issue.5 , pp. 965-981
    • Srinivasan, R.1    Wang, C.2    Ho, W.K.3    Lim, K.W.4
  • 25
    • 0038046670 scopus 로고    scopus 로고
    • Monitoring transitions in chemical plants using enhanced trend analysis
    • Sundarraman A., and Srinivasan R. Monitoring transitions in chemical plants using enhanced trend analysis. Computers and Chemical Engineering 27 10 (2003) 1455-1472
    • (2003) Computers and Chemical Engineering , vol.27 , Issue.10 , pp. 1455-1472
    • Sundarraman, A.1    Srinivasan, R.2
  • 26
  • 28
    • 0023661088 scopus 로고
    • A New Algorithm for Best Subsequence Alignments with Application to tRNA-rRNA Comparisons
    • Waterman M.S., and Eggert M. A New Algorithm for Best Subsequence Alignments with Application to tRNA-rRNA Comparisons. Journal of Molecular Biology 197 (1987) 723-728
    • (1987) Journal of Molecular Biology , vol.197 , pp. 723-728
    • Waterman, M.S.1    Eggert, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.