메뉴 건너뛰기




Volumn 2012, Issue , 2012, Pages

Fault detection for industrial processes

Author keywords

[No Author keywords available]

Indexed keywords

DETECTION APPROACH; INDUSTRIAL PROCESSS; MONITORING APPROACH; PENICILLIN FERMENTATION PROCESS; PRINCIPAL COMPONENTS; PRINCIPAL DIRECTIONS; RESIDUAL SPACES; RESIDUAL SUBSPACES; STATISTICAL TECHNIQUES; TENNESSEE EASTMAN PROCESS;

EID: 84872162733     PISSN: 1024123X     EISSN: 15635147     Source Type: Journal    
DOI: 10.1155/2012/757828     Document Type: Article
Times cited : (10)

References (42)
  • 1
    • 80051861081 scopus 로고    scopus 로고
    • An adaptive forecast-based chart for non-Gaussian processes monitoring: With application to equipment malfunctions detection in a thermal power plant
    • 2-s2.0-78349244833 10.1109/TCST.2010.2083664
    • Chun-Chin H., Chao-Ton S., An adaptive forecast-based chart for non-Gaussian processes monitoring: with application to equipment malfunctions detection in a thermal power plant. IEEE Transactions on Control Systems Technology 2010 19 5 1245 1250 2-s2.0-78349244833 10.1109/TCST.2010.2083664
    • (2010) IEEE Transactions on Control Systems Technology , vol.19 , Issue.5 , pp. 1245-1250
    • Chun-Chin, H.1    Chao-Ton, S.2
  • 2
    • 46849098186 scopus 로고    scopus 로고
    • A statistical method for the detection of sensor abrupt faults in aircraft control systems
    • 2-s2.0-46849098186 10.1109/TCST.2007.903109
    • Samara P. A., Fouskitakis G. N., Sakallariou J. S., Fassois S. D., A statistical method for the detection of sensor abrupt faults in aircraft control systems. IEEE Transactions on Control Systems Technology 2008 16 4 789 798 2-s2.0-46849098186 10.1109/TCST.2007.903109
    • (2008) IEEE Transactions on Control Systems Technology , vol.16 , Issue.4 , pp. 789-798
    • Samara, P.A.1    Fouskitakis, G.N.2    Sakallariou, J.S.3    Fassois, S.D.4
  • 3
    • 77649189520 scopus 로고    scopus 로고
    • On-line multivariate statistical monitoring of batch processes using Gaussian mixture model
    • 2-s2.0-77649189520 10.1016/j.compchemeng.2009.08.007
    • Chen T., Zhang J., On-line multivariate statistical monitoring of batch processes using Gaussian mixture model. Computers and Chemical Engineering 2010 34 4 500 507 2-s2.0-77649189520 10.1016/j.compchemeng.2009.08.007
    • (2010) Computers and Chemical Engineering , vol.34 , Issue.4 , pp. 500-507
    • Chen, T.1    Zhang, J.2
  • 5
    • 0242354134 scopus 로고    scopus 로고
    • Statistical process monitoring: Basics and beyond
    • 2-s2.0-0242354134
    • Qin S. J., Statistical process monitoring: basics and beyond. Journal of Chemometrics 2003 17 8-9 480 502 2-s2.0-0242354134
    • (2003) Journal of Chemometrics , vol.17 , Issue.8-9 , pp. 480-502
    • Qin, S.J.1
  • 6
    • 26244448876 scopus 로고    scopus 로고
    • Analysis of extended partial least squares for monitoring large-scale processes
    • DOI 10.1109/TCST.2005.852113
    • Chen Q., Kruger U., Analysis of extended partial least squares for monitoring large-scale processes. IEEE Transactions on Control Systems Technology 2005 13 5 807 813 2-s2.0-26244448876 10.1109/TCST.2005.852113 (Pubitemid 41410784)
    • (2005) IEEE Transactions on Control Systems Technology , vol.13 , Issue.5 , pp. 807-813
    • Chen, Q.1    Kruger, U.2
  • 7
    • 33747584401 scopus 로고    scopus 로고
    • Multiple discriminant analysis and neural-network-based monolith and partition fault-detection schemes for broken rotor bar in induction motors
    • DOI 10.1109/TIE.2006.878301
    • Ayhan B., Chow M. Y., Song M. H., Multiple discriminant analysis and neural-network-based monolith and partition fault-detection schemes for broken rotor bar in induction motors. IEEE Transactions on Industrial Electronics 2006 53 4 1298 1308 2-s2.0-33747584401 10.1109/TIE.2006.878301 (Pubitemid 44263740)
    • (2006) IEEE Transactions on Industrial Electronics , vol.53 , Issue.4 , pp. 1298-1308
    • Ayhan, B.1    Chow, M.-Y.2    Song, M.-H.3
  • 8
    • 34547567795 scopus 로고    scopus 로고
    • Improved principal component monitoring using the local approach
    • DOI 10.1016/j.automatica.2007.02.016, PII S0005109807001665
    • Kruger U., Kumar S., Littler T., Improved principal component monitoring using the local approach. Automatica. A Journal of IFAC, the International Federation of Automatic Control 2007 43 9 1532 1542 10.1016/j.automatica.2007. 02.016 2327065 ZBL1126.62122 (Pubitemid 47198208)
    • (2007) Automatica , vol.43 , Issue.9 , pp. 1532-1542
    • Kruger, U.1    Kumar, S.2    Littler, T.3
  • 9
    • 67349245154 scopus 로고    scopus 로고
    • Reconstruction-based contribution for process monitoring
    • 10.1016/j.automatica.2009.02.027 2879472 ZBL1188.90074
    • Alcala C. F., Qin S. J., Reconstruction-based contribution for process monitoring. Automatica 2009 45 7 1593 1600 10.1016/j.automatica.2009.02.027 2879472 ZBL1188.90074
    • (2009) Automatica , vol.45 , Issue.7 , pp. 1593-1600
    • Alcala, C.F.1    Qin, S.J.2
  • 10
    • 84859698661 scopus 로고    scopus 로고
    • A PLS-based statistical approach for fault detection and isolation of robotic manipulators
    • 10.1109/TIE.2011.2167110
    • Muradore R., Fiorini P., A PLS-based statistical approach for fault detection and isolation of robotic manipulators. IEEE Transactions on Industrial Electronics 2012 59 8 3167 3175 10.1109/TIE.2011.2167110
    • (2012) IEEE Transactions on Industrial Electronics , vol.59 , Issue.8 , pp. 3167-3175
    • Muradore, R.1    Fiorini, P.2
  • 11
    • 73049084841 scopus 로고    scopus 로고
    • Geometric properties of partial least squares for process monitoring
    • 10.1016/j.automatica.2009.10.030 2578292 ZBL1233.62208
    • Li G., Qin S. J., Zhou D., Geometric properties of partial least squares for process monitoring. Automatica. A Journal of IFAC, the International Federation of Automatic Control 2010 46 1 204 210 10.1016/j.automatica.2009.10. 030 2578292 ZBL1233.62208
    • (2010) Automatica. A Journal of IFAC, the International Federation of Automatic Control , vol.46 , Issue.1 , pp. 204-210
    • Li, G.1    Qin, S.J.2    Zhou, D.3
  • 12
    • 77957561573 scopus 로고    scopus 로고
    • Output relevant fault reconstruction and fault subspace extraction in total projection to latent structures models
    • 2-s2.0-77957561573 10.1021/ie901939n
    • Li G., Joe Qin S., Zhou D., Output relevant fault reconstruction and fault subspace extraction in total projection to latent structures models. Industrial and Engineering Chemistry Research 2010 49 19 9175 9183 2-s2.0-77957561573 10.1021/ie901939n
    • (2010) Industrial and Engineering Chemistry Research , vol.49 , Issue.19 , pp. 9175-9183
    • Li, G.1    Joe Qin, S.2    Zhou, D.3
  • 13
    • 0346911568 scopus 로고    scopus 로고
    • Nonlinear process monitoring using kernel principal component analysis
    • DOI 10.1016/j.ces.2003.09.012
    • Lee J. M., Yoo C. K., Choi S. W., Vanrolleghem P. A., Lee I. B., Nonlinear process monitoring using kernel principal component analysis. Chemical Engineering Science 2004 59 1 223 234 2-s2.0-0346911568 10.1016/j.ces.2003.09. 012 (Pubitemid 38034007)
    • (2004) Chemical Engineering Science , vol.59 , Issue.1 , pp. 223-234
    • Lee, J.-M.1    Yoo, C.K.2    Choi, S.W.3    Vanrolleghem, P.A.4    Lee, I.-B.5
  • 14
    • 0029267381 scopus 로고
    • Statistical process control of multivariate processes
    • 2-s2.0-0029267381
    • MacGregor J. F., Kourti T., Statistical process control of multivariate processes. Control Engineering Practice 1995 3 3 403 414 2-s2.0-0029267381
    • (1995) Control Engineering Practice , vol.3 , Issue.3 , pp. 403-414
    • MacGregor, J.F.1    Kourti, T.2
  • 15
    • 9744237208 scopus 로고    scopus 로고
    • Multiple-fault diagnosis of the Tennessee Eastman process based on system decomposition and dynamic PLS
    • Lee G., Han C., Yoon E. S., Multiple-fault diagnosis of the Tennessee Eastman process based on system decomposition and dynamic PLS. Industrial and Engineering Chemistry Research 2004 43 25 8037 8048 2-s2.0-9744237208 (Pubitemid 39587385)
    • (2004) Industrial and Engineering Chemistry Research , vol.43 , Issue.25 , pp. 8037-8048
    • Lee, G.1    Han, C.2    Yoon, E.S.3
  • 16
    • 1342285571 scopus 로고    scopus 로고
    • Statistical process monitoring with independent component analysis
    • 2-s2.0-1342285571 10.1016/j.jprocont.2003.09.004
    • Lee J. M., Yoo C., Lee I. B., Statistical process monitoring with independent component analysis. Journal of Process Control 2004 14 5 467 485 2-s2.0-1342285571 10.1016/j.jprocont.2003.09.004
    • (2004) Journal of Process Control , vol.14 , Issue.5 , pp. 467-485
    • Lee, J.M.1    Yoo, C.2    Lee, I.B.3
  • 21
    • 2842581444 scopus 로고    scopus 로고
    • Frameworks for latent variable multivariate regression
    • Burnham A. J., Viveros R., Macgregor J. F., Frameworks for latent variable multivariate regression. Journal of Chemometrics 1996 10 1 31 45 2-s2.0-2842581444 (Pubitemid 126469517)
    • (1996) Journal of Chemometrics , vol.10 , Issue.1 , pp. 31-45
    • Burnham, A.J.1    Viveros, R.2    Macgregor, J.F.3
  • 22
    • 0002815256 scopus 로고    scopus 로고
    • Improved PLS algorithms
    • Dayal B. S., Macgregor J. F., Improved PLS algorithms. Journal of Chemometrics 1997 11 1 73 85 2-s2.0-0002815256 (Pubitemid 127477120)
    • (1997) Journal of Chemometrics , vol.11 , Issue.1 , pp. 73-85
    • Dayal, B.S.1    Macgregor, J.F.2
  • 23
    • 0032044750 scopus 로고    scopus 로고
    • Recursive PLS algorithms for adaptive data modeling
    • PII S0098135497002627
    • Qin S. J., Recursive PLS algorithms for adaptive data modeling. Computers and Chemical Engineering 1998 22 4-5 503 514 2-s2.0-0032044750 (Pubitemid 128714151)
    • (1998) Computers and Chemical Engineering , vol.22 , Issue.4-5 , pp. 503-514
    • Qin, S.J.1
  • 24
    • 53649106193 scopus 로고    scopus 로고
    • Nonlinear process monitoring based on kernel dissimilarity analysis
    • 2-s2.0-53649106193 10.1016/j.conengprac.2008.07.001
    • Zhao C., Wang F., Zhang Y., Nonlinear process monitoring based on kernel dissimilarity analysis. Control Engineering Practice 2009 17 1 221 230 2-s2.0-53649106193 10.1016/j.conengprac.2008.07.001
    • (2009) Control Engineering Practice , vol.17 , Issue.1 , pp. 221-230
    • Zhao, C.1    Wang, F.2    Zhang, Y.3
  • 25
    • 77952682127 scopus 로고    scopus 로고
    • Decentralized fault diagnosis of large-scale processes using multiblock kernel principal component analysis
    • 2-s2.0-77952682127 10.3724/SP.J.1004.2010.00593
    • Zhang Y. W., Zhou H., Qin S. J., Decentralized fault diagnosis of large-scale processes using multiblock kernel principal component analysis. Zidonghua Xuebao/ Acta Automatica Sinica 2010 36 4 593 597 2-s2.0-77952682127 10.3724/SP.J.1004.2010.00593
    • (2010) Zidonghua Xuebao/ Acta Automatica Sinica , vol.36 , Issue.4 , pp. 593-597
    • Zhang, Y.W.1    Zhou, H.2    Qin, S.J.3
  • 26
    • 76849100172 scopus 로고    scopus 로고
    • Decentralized fault diagnosis of large-scale processes using multiblock kernel partial least squares
    • 2-s2.0-76849100172 10.1109/TII.2009.2033181
    • Zhang Y., Zhou H., Qin S. J., Chai T., Decentralized fault diagnosis of large-scale processes using multiblock kernel partial least squares. IEEE Transactions on Industrial Informatics 2010 6 1 3 10 2-s2.0-76849100172 10.1109/TII.2009.2033181
    • (2010) IEEE Transactions on Industrial Informatics , vol.6 , Issue.1 , pp. 3-10
    • Zhang, Y.1    Zhou, H.2    Qin, S.J.3    Chai, T.4
  • 27
    • 82855161454 scopus 로고    scopus 로고
    • Multivariate process monitoring and analysis based on multi-scale KPLS
    • 2-s2.0-79957829576 10.1016/j.cherd.2011.05.005
    • Zhang Y., Hu Z., Multivariate process monitoring and analysis based on multi-scale KPLS. Chemical Engineering Research and Design 2011 89 12 2667 2678 2-s2.0-79957829576 10.1016/j.cherd.2011.05.005
    • (2011) Chemical Engineering Research and Design , vol.89 , Issue.12 , pp. 2667-2678
    • Zhang, Y.1    Hu, Z.2
  • 28
    • 31544440191 scopus 로고    scopus 로고
    • Robust recursive principal component analysis modeling for adaptive monitoring
    • DOI 10.1021/ie050850t
    • Jin H. D., Lee Y. H., Lee G., Han C., Robust recursive principal component analysis modeling for adaptive monitoring. Industrial and Engineering Chemistry Research 2006 45 2 696 703 2-s2.0-31544440191 10.1021/ie050850t (Pubitemid 43164156)
    • (2006) Industrial and Engineering Chemistry Research , vol.45 , Issue.2 , pp. 696-703
    • Jin, H.D.1    Lee, Y.-H.2    Lee, G.3    Han, C.4
  • 29
    • 33646496576 scopus 로고    scopus 로고
    • On-line process state classification for adaptive monitoring
    • 2-s2.0-33646496576 10.1021/ie048969+
    • Lee Y. H., Jin H. D., Han C., On-line process state classification for adaptive monitoring. Industrial and Engineering Chemistry Research 2006 45 9 3095 3107 2-s2.0-33646496576 10.1021/ie048969+
    • (2006) Industrial and Engineering Chemistry Research , vol.45 , Issue.9 , pp. 3095-3107
    • Lee, Y.H.1    Jin, H.D.2    Han, C.3
  • 30
    • 14544297033 scopus 로고    scopus 로고
    • KPCA plus LDA: A complete kernel fisher discriminant framework for feature extraction and recognition
    • DOI 10.1109/TPAMI.2005.33
    • Yang J., Frangi A. F., Yang J. Y., Zhang D., Jin Z., KPCA plus LDA: a complete kernel fisher discriminant framework for feature extraction and recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 2005 27 2 230 244 2-s2.0-14544297033 10.1109/TPAMI.2005.33 (Pubitemid 40377316)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.2 , pp. 230-244
    • Yang, J.1    Frangi, A.F.2    Yang, J.-Y.3    Zhang, D.4    Jin, Z.5
  • 31
    • 37749003880 scopus 로고    scopus 로고
    • Nonlinear PCA with the local approach for diesel engine fault detection and diagnosis
    • 2-s2.0-37749003880 10.1109/TCST.2007.899744
    • Wang X., Kruger U., Irwin G. W., McCullough G., McDowell N., Nonlinear PCA with the local approach for diesel engine fault detection and diagnosis. IEEE Transactions on Control Systems Technology 2008 16 1 122 129 2-s2.0-37749003880 10.1109/TCST.2007.899744
    • (2008) IEEE Transactions on Control Systems Technology , vol.16 , Issue.1 , pp. 122-129
    • Wang, X.1    Kruger, U.2    Irwin, G.W.3    McCullough, G.4    McDowell, N.5
  • 32
    • 77957599856 scopus 로고    scopus 로고
    • Total projection to latent structures for process monitoring
    • Zhou D., Lee G., Qin S. J., Total projection to latent structures for process monitoring. AIChE Journal 2010 56 168 178
    • (2010) AIChE Journal , vol.56 , pp. 168-178
    • Zhou, D.1    Lee, G.2    Qin, S.J.3
  • 33
    • 80051912783 scopus 로고    scopus 로고
    • Generalized reconstruction-based contributions for output-relevant fault diagnosis with application to the tennessee Eastman process
    • 2-s2.0-77957783600 10.1109/TCST.2010.2071415
    • Li G., Alcala C. F., Qin S. J., Zhou D., Generalized reconstruction-based contributions for output-relevant fault diagnosis with application to the tennessee Eastman process. IEEE Transactions on Control Systems Technology 2010 19 5 1114 1127 2-s2.0-77957783600 10.1109/TCST.2010.2071415
    • (2010) IEEE Transactions on Control Systems Technology , vol.19 , Issue.5 , pp. 1114-1127
    • Li, G.1    Alcala, C.F.2    Qin, S.J.3    Zhou, D.4
  • 34
    • 10244238854 scopus 로고    scopus 로고
    • Fault identification for process monitoring using kernel principal component analysis
    • DOI 10.1016/j.ces.2004.08.007, PII S0009250904006013
    • Cho J. H., Lee J. M., Choi S. W., Lee D., Lee I. B., Fault identification for process monitoring using kernel principal component analysis. Chemical Engineering Science 2005 60 1 279 288 2-s2.0-10244238854 10.1016/j.ces.2004.08. 007 (Pubitemid 39622624)
    • (2005) Chemical Engineering Science , vol.60 , Issue.1 , pp. 279-288
    • Cho, J.-H.1    Lee, J.-M.2    Choi, S.W.3    Lee, D.4    Lee, I.-B.5
  • 35
    • 11144331636 scopus 로고    scopus 로고
    • Fault detection and identification of nonlinear processes based on kernel PCA
    • DOI 10.1016/j.chemolab.2004.05.001, PII S0169743904001224
    • Choi S. W., Lee C., Lee J. M., Park J. H., Lee I. B., Fault detection and identification of nonlinear processes based on kernel PCA. Chemometrics and Intelligent Laboratory Systems 2005 75 1 55 67 2-s2.0-11144331636 10.1016/j.chemolab.2004.05.001 (Pubitemid 40038191)
    • (2005) Chemometrics and Intelligent Laboratory Systems , vol.75 , Issue.1 , pp. 55-67
    • Choi, S.W.1    Lee, C.2    Lee, J.-M.3    Park, J.H.4    Lee, I.-B.5
  • 36
    • 0033230994 scopus 로고    scopus 로고
    • Selection of the number of principal components: The variance of the reconstruction error criterion with a comparison to other methods
    • 2-s2.0-0033230994
    • Valle S., Li W., Qin S. J., Selection of the number of principal components: the variance of the reconstruction error criterion with a comparison to other methods. Industrial and Engineering Chemistry Research 1999 38 11 4389 4401 2-s2.0-0033230994
    • (1999) Industrial and Engineering Chemistry Research , vol.38 , Issue.11 , pp. 4389-4401
    • Valle, S.1    Li, W.2    Qin, S.J.3
  • 37
    • 84951601886 scopus 로고
    • Cross-validatory estimation of the number of components in factor and principal component models
    • Wold S., Cross-validatory estimation of the number of components in factor and principal component models. Technometrics 1978 4 397 405
    • (1978) Technometrics , vol.4 , pp. 397-405
    • Wold, S.1
  • 38
    • 0029517963 scopus 로고
    • Review of multivariate control charts
    • 2-s2.0-0029517963
    • Lowry C. A., Montgomery D. C., Review of multivariate control charts. IIE Transactions 1995 27 6 800 810 2-s2.0-0029517963
    • (1995) IIE Transactions , vol.27 , Issue.6 , pp. 800-810
    • Lowry, C.A.1    Montgomery, D.C.2
  • 39
    • 0029252734 scopus 로고
    • Multivariate SPC charts for monitoring batch processes
    • 2-s2.0-0029252734
    • Nomikos P., MacGregor J. F., Multivariate SPC charts for monitoring batch processes. Technometrics 1995 37 1 41 59 2-s2.0-0029252734
    • (1995) Technometrics , vol.37 , Issue.1 , pp. 41-59
    • Nomikos, P.1    MacGregor, J.F.2
  • 40
    • 0027561446 scopus 로고
    • A plant-wide industrial process control problem
    • 2-s2.0-0027561446
    • Downs J. J., Vogel E. F., A plant-wide industrial process control problem. Computers and Chemical Engineering 1993 17 3 245 255 2-s2.0-0027561446
    • (1993) Computers and Chemical Engineering , vol.17 , Issue.3 , pp. 245-255
    • Downs, J.J.1    Vogel, E.F.2
  • 41
    • 69349083126 scopus 로고    scopus 로고
    • Complex process monitoring using modified partial least squares method of independent component regression
    • 2-s2.0-69349083126 10.1016/j.chemolab.2009.06.001
    • Zhang Y., Zhang Y., Complex process monitoring using modified partial least squares method of independent component regression. Chemometrics and Intelligent Laboratory Systems 2009 98 2 143 148 2-s2.0-69349083126 10.1016/j.chemolab.2009.06.001
    • (2009) Chemometrics and Intelligent Laboratory Systems , vol.98 , Issue.2 , pp. 143-148
    • Zhang, Y.1    Zhang, Y.2
  • 42
    • 84863151045 scopus 로고    scopus 로고
    • Dynamic processes monitoring using recursive kernel principal component analysis
    • 10.1016/j.ces.2011.12.026
    • Zhang Y., Li S., Teng Y., Dynamic processes monitoring using recursive kernel principal component analysis. Chemical Engineering Science 2012 72 78 86 10.1016/j.ces.2011.12.026
    • (2012) Chemical Engineering Science , vol.72 , pp. 78-86
    • Zhang, Y.1    Li, S.2    Teng, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.