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Volumn 51, Issue 34, 2012, Pages 11207-11217

A multiple-time-region (MTR)-based fault subspace decomposition and reconstruction modeling strategy for online fault diagnosis

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS PERFORMANCE; FAULT CHARACTERISTICS; FAULT FEATURE; FAULT PROCESS; FAULT RECONSTRUCTION; LOCAL FAULTS; LOCAL REGION; MODELING STRATEGY; NORMAL OPERATIONS; ON-LINE FAULT DIAGNOSIS; PROCESS EVOLUTION; SUBSPACE DECOMPOSITION; TENNESSEE EASTMAN PROCESS; TIME REGION; TIME VARYING;

EID: 84865620175     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie301096x     Document Type: Article
Times cited : (30)

References (34)
  • 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
    • Hsu, C. C.; Su, C. T. An Adaptive Forecast-Based Chart for Non-Gaussian Processes Monitoring: With Application to Equipment Malfunctions Detection in a Thermal Power Plant IEEE Trans. Control Syst. Technol. 2011, 19, 1245
    • (2011) IEEE Trans. Control Syst. Technol. , vol.19 , pp. 1245
    • Hsu, C.C.1    Su, C.T.2
  • 4
    • 0242354134 scopus 로고    scopus 로고
    • Statistical process monitoring: Basics and beyond
    • Qin, S. J. Statistical process monitoring: basics and beyond J. Chemom. 2003, 17, 480
    • (2003) J. Chemom. , vol.17 , pp. 480
    • Qin, S.J.1
  • 5
    • 26244448876 scopus 로고    scopus 로고
    • Analysis of extended partial least squares for monitoring large-scale processes
    • Qian, C.; Kruger, U. Analysis of extended partial least squares for monitoring large-scale processes IEEE Trans. Control Syst. Technol. 2005, 13, 807
    • (2005) IEEE Trans. Control Syst. Technol. , vol.13 , pp. 807
    • Qian, C.1    Kruger, U.2
  • 6
    • 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
    • Ayhan, B.; Mo-Yuen, C.; Myung-Hyun, S. Multiple Discriminant Analysis and Neural-Network-Based Monolith and Partition Fault-Detection Schemes for Broken Rotor Bar in Induction Motors IEEE Trans. Ind. Electron. 2006, 53, 1298
    • (2006) IEEE Trans. Ind. Electron. , vol.53 , pp. 1298
    • Ayhan, B.1    Mo-Yuen, C.2    Myung-Hyun, S.3
  • 7
    • 34547567795 scopus 로고    scopus 로고
    • Littler, T. Improved principal component monitoring using the local approach
    • Kruger, U.; Kumar, S. Littler, T. Improved principal component monitoring using the local approach Automatica 2007, 43, 1532
    • (2007) Automatica , vol.43 , pp. 1532
    • Kruger, U.1    Kumar, S.2
  • 8
    • 67349245154 scopus 로고    scopus 로고
    • Reconstruction-based contribution for process monitoring
    • Alcala, C. F.; Qin, S. J. Reconstruction-based contribution for process monitoring Automatica 2009, 45, 1593
    • (2009) Automatica , vol.45 , pp. 1593
    • Alcala, C.F.1    Qin, S.J.2
  • 9
    • 84859698661 scopus 로고    scopus 로고
    • PLS-Based Statistical Approach for Fault Detection and Isolation of Robotic Manipulators
    • Muradore, R.; Fiorini, P. A PLS-Based Statistical Approach for Fault Detection and Isolation of Robotic Manipulators IEEE Trans. Ind. Electron. 2012, 59, 3167
    • (2012) IEEE Trans. Ind. Electron. , vol.59 , pp. 3167
    • Muradore, R.1    Fiorini, P.A.2
  • 10
    • 73049084841 scopus 로고    scopus 로고
    • Geometric properties of partial least squares for process monitoring
    • Gang, L.; Qin, S. J.; Zhou, D. H. Geometric properties of partial least squares for process monitoring Automatica 2010, 46, 204
    • (2010) Automatica , vol.46 , pp. 204
    • Gang, L.1    Qin, S.J.2    Zhou, D.H.3
  • 12
    • 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 J. Chemom. 1996, 10, 31
    • (1996) J. Chemom. , vol.10 , pp. 31
    • Burnham, A.J.1    Viveros, R.2    MacGregor, J.F.3
  • 14
    • 0030127409 scopus 로고    scopus 로고
    • Statistical process monitoring and disturbance diagnosis in multivariable continuous processes
    • Raich, A.; Cinar, A. Statistical process monitoring and disturbance diagnosis in multivariable continuous processes AIChE J. 1996, 42, 995
    • (1996) AIChE J. , vol.42 , pp. 995
    • Raich, A.1    Cinar, A.2
  • 15
    • 0034643075 scopus 로고    scopus 로고
    • Fault Diagnosis in Chemical Processes Using Fisher Discriminant Analysis, Discriminant Partial Least-Squares, and Principal Component Analysis
    • Chiang, L. H.; Russell, E. L.; Braatz, R. D. Fault Diagnosis in Chemical Processes Using Fisher Discriminant Analysis, Discriminant Partial Least-Squares, and Principal Component Analysis Chemom. Intell. Lab. Syst. 2000, 50, 243
    • (2000) Chemom. Intell. Lab. Syst. , vol.50 , pp. 243
    • Chiang, L.H.1    Russell, E.L.2    Braatz, R.D.3
  • 16
    • 2342505830 scopus 로고    scopus 로고
    • Fault Diagnosis Based on Fisher Discriminant Analysis and Support Vector Machines
    • Chiang, L. H.; Kotanchek, M. E.; Kordon, A. K. Fault Diagnosis Based on Fisher Discriminant Analysis and Support Vector Machines Comput. Chem. Eng. 2004, 28, 1389
    • (2004) Comput. Chem. Eng. , vol.28 , pp. 1389
    • Chiang, L.H.1    Kotanchek, M.E.2    Kordon, A.K.3
  • 17
    • 0035427805 scopus 로고    scopus 로고
    • Fault diagnosis with multivariate statistical models part I: Using steady state fault signatures
    • Yoon, S.; MacGregor, J. Fault diagnosis with multivariate statistical models part I: Using steady state fault signatures J. Process Control 2001, 11, 387
    • (2001) J. Process Control , vol.11 , pp. 387
    • Yoon, S.1    MacGregor, J.2
  • 18
    • 0033198809 scopus 로고    scopus 로고
    • Detection, identification, and reconstruction of faulty sensors with maximized sensitivity
    • Qin, S. J.; Li, W. Detection, identification, and reconstruction of faulty sensors with maximized sensitivity AIChE J. 1999, 45, 1963
    • (1999) AIChE J. , vol.45 , pp. 1963
    • Qin, S.J.1    Li, W.2
  • 19
    • 0001212550 scopus 로고    scopus 로고
    • Detection and identification of faulty sensors in dynamic processes
    • Qin, S. J.; Li, W. Detection and identification of faulty sensors in dynamic processes AIChE J. 2001, 47, 1581
    • (2001) AIChE J. , vol.47 , pp. 1581
    • Qin, S.J.1    Li, W.2
  • 20
    • 0033083952 scopus 로고    scopus 로고
    • Isolation enhanced principal component analysis
    • Gertler, J.; Li, W.; Huang, Y.; McAvoy, T. Isolation enhanced principal component analysis AIChE J. 1999, 45, 323
    • (1999) AIChE J. , vol.45 , pp. 323
    • Gertler, J.1    Li, W.2    Huang, Y.3    McAvoy, T.4
  • 21
    • 0034621628 scopus 로고    scopus 로고
    • Generalized contribution plots in multivariate statistical process monitoring
    • Westerhuis, J. A.; Gurden, S. P.; Smilde, A. K. Generalized contribution plots in multivariate statistical process monitoring Chemom. Intell. Lab. Syst. 2000, 51, 95
    • (2000) Chemom. Intell. Lab. Syst. , vol.51 , pp. 95
    • Westerhuis, J.A.1    Gurden, S.P.2    Smilde, A.K.3
  • 22
    • 10444237307 scopus 로고    scopus 로고
    • Multiblock PLS-based localized process diagnosis
    • Choi, S. W.; Lee, I. B. Multiblock PLS-based localized process diagnosis J. Process Control 2005, 15, 295
    • (2005) J. Process Control , vol.15 , pp. 295
    • Choi, S.W.1    Lee, I.B.2
  • 23
    • 64549118988 scopus 로고    scopus 로고
    • Enhanced Process Comprehension and Statistical Analysis for Slow-Varying Batch Processes
    • Zhao, C. H.; Wang, F. L.; Gao, F. R.; Zhang, Y. W. Enhanced Process Comprehension and Statistical Analysis for Slow-Varying Batch Processes Ind. Eng. Chem. Res. 2008, 47, 9996
    • (2008) Ind. Eng. Chem. Res. , vol.47 , pp. 9996
    • Zhao, C.H.1    Wang, F.L.2    Gao, F.R.3    Zhang, Y.W.4
  • 24
    • 67349245154 scopus 로고    scopus 로고
    • Reconstruction-based contribution for process monitoring
    • Alcala, C.; Qin, S. Reconstruction-based contribution for process monitoring Automatica 2009, 45, 1593
    • (2009) Automatica , vol.45 , pp. 1593
    • Alcala, C.1    Qin, S.2
  • 25
    • 80051912783 scopus 로고    scopus 로고
    • Generalized Reconstruction-Based Contributions for Output-Relevant Fault Diagnosis with Application to the Tennessee Eastman Process
    • Gang, L.; Alcala, C. F.; Qin, S. J.; Zhou, D. H. Generalized Reconstruction-Based Contributions for Output-Relevant Fault Diagnosis with Application to the Tennessee Eastman Process IEEE Trans. Control Syst. Technol. 2011, 19, 1114
    • (2011) IEEE Trans. Control Syst. Technol. , vol.19 , pp. 1114
    • Gang, L.1    Alcala, C.F.2    Qin, S.J.3    Zhou, D.H.4
  • 26
    • 0032144398 scopus 로고    scopus 로고
    • Subspace approach to multidimensional fault identification and reconstruction
    • Dunia, R.; Qin, S. J. Subspace approach to multidimensional fault identification and reconstruction AIChE J. 1998, 44, 1813
    • (1998) AIChE J. , vol.44 , pp. 1813
    • Dunia, R.1    Qin, S.J.2
  • 27
    • 0035802262 scopus 로고    scopus 로고
    • Reconstruction-Based Fault Identification Using a Combined Index
    • Yue, H.; Qin, S. Reconstruction-Based Fault Identification Using a Combined Index Ind. Eng. Chem. Res. 2001, 40, 4403
    • (2001) Ind. Eng. Chem. Res. , vol.40 , pp. 4403
    • Yue, H.1    Qin, S.2
  • 28
    • 77957561573 scopus 로고    scopus 로고
    • Output Relevant Fault Reconstruction and Fault Subspace Extraction in Total Projection to Latent Structures Models
    • Gang, L.; Qin, S. J.; Zhou, D. H. Output Relevant Fault Reconstruction and Fault Subspace Extraction in Total Projection to Latent Structures Models Ind. Eng. Chem. Res. 2010, 49, 9175
    • (2010) Ind. Eng. Chem. Res. , vol.49 , pp. 9175
    • Gang, L.1    Qin, S.J.2    Zhou, D.H.3
  • 29
    • 0029517963 scopus 로고
    • A review of multivariate control charts
    • Lowry, C. A.; Montgomery, D. C. A review of multivariate control charts IIE Trans. 1995, 27, 800
    • (1995) IIE Trans. , vol.27 , pp. 800
    • Lowry, C.A.1    Montgomery, D.C.2
  • 30
    • 0029252734 scopus 로고
    • Multivariate SPC Charts for Monitoring Batch Processes
    • Nomikos, P.; MacGregor, J. F. Multivariate SPC Charts for Monitoring Batch Processes Technometrics 1995, 37, 41
    • (1995) Technometrics , vol.37 , pp. 41
    • Nomikos, P.1    MacGregor, J.F.2
  • 31
    • 77956396068 scopus 로고    scopus 로고
    • Spectra Data Analysis and Calibration Modeling Method Using Spectra Subspace Separation and Multiblock Independent Component Regression Strategy
    • Zhao, C. H.; Gao, F. R. Spectra Data Analysis and Calibration Modeling Method Using Spectra Subspace Separation and Multiblock Independent Component Regression Strategy AIChE J. 2011, 57, 1202
    • (2011) AIChE J. , vol.57 , pp. 1202
    • Zhao, C.H.1    Gao, F.R.2
  • 32
    • 53649106193 scopus 로고    scopus 로고
    • Nonlinear process monitoring based on kernel dissimilarity analysis
    • Zhao, C. H.; Wang, F. L.; Zhang, Y. W. Nonlinear process monitoring based on kernel dissimilarity analysis Control Eng. Pract. 2009, 17, 221
    • (2009) Control Eng. Pract. , vol.17 , pp. 221
    • Zhao, C.H.1    Wang, F.L.2    Zhang, Y.W.3
  • 33
    • 0027561446 scopus 로고
    • A plant-wide industrial process control problem
    • Downs, J. J.; Vogel, E. F. A plant-wide industrial process control problem Comput. Chem. Eng. 1993, 17, 245
    • (1993) Comput. Chem. Eng. , vol.17 , pp. 245
    • Downs, J.J.1    Vogel, E.F.2


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