Efficient faulty variable selection and parsimonious reconstruction modelling for fault isolation

Journal of Process Control

Volumn 38, Issue , 2016, Pages 31-41

  Zhao, Chunhui ^a   Wang, Wei ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Fault isolation; Faulty variable selection; Principal component analysis; Reconstruction modelling

Indexed keywords

PRINCIPAL COMPONENT ANALYSIS;

FAULT CHARACTERISTICS; FAULT ISOLATION; FAULT MONITORING; PROCESS VARIABLES; RELATIVE ANALYSIS; TENNESSEE EASTMAN; VARIABLE SELECTION; VARIABLE SELECTION ALGORITHMS;

FAULT SLIPS;

EID: 84953877886     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2015.12.002     Document Type: Article

References (40)

1. P.A. Samara, G.N. Fouskitakis, J.S. Sakellariou, and S.D. Fassois A statistical method for the detection of sensor abrupt faults in aircraft control systems IEEE Trans. Control Syst. Technol. 16 2008 789 798
2. C.H. Zhao, and Y.X. Sun Multi-space total projection to latent structures and its application to online process monitoring IEEE Trans. Control Syst. Technol. 22 3 2014 868 883
3. H. Chun-Chin, and S. Chao-Ton 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. 19 2011 1245 1250
4. Z. Bin, C. Sconyers, C. Byington, R. Patrick, M.E. Orchard, and G. Vachtsevanos A probabilistic fault detection approach: application to bearing fault detection IEEE Trans. Ind. Electron. 58 2011 2011 2018
5. C.H. Zhao, Y. Yao, F.R. Gao, and F.L. Wang Statistical analysis and online monitoring for multimode processes with between-mode transitions Chem. Eng. Sci. 65 22 2010 5961 5975
6. C. Qian, and U. Kruger Analysis of extended partial least squares for monitoring large-scale processes IEEE Trans. Control Syst. Technol. 13 2005 807 813
7. N. Subrahmanya, and Y.C. Shin A data-based framework for fault detection and diagnostics of non-linear systems with partial state measurement Eng. Appl. Artif. Intell. 26 2013 446 455
8. B. He, J. Zhang, T. Chen, and X.H. Yang Penalized reconstruction-based multivariate contribution analysis for fault isolation Ind. Eng. Chem. Res. 52 2013 7784 7794
9. C.H. Zhao Concurrent phase partition and between-mode statistical analysis for multimode and multiphase batch process monitoring AIChE J. 60 2 2014 559 573
10. C.F. Alcala, and S.J. Qin Reconstruction-based contribution for process monitoring Automatica 45 2009 1593 1600
11. R. Muradore, and P. Fiorini A PLS-based statistical approach for fault detection and isolation of robotic manipulators IEEE Trans. Ind. Electron. 59 8 2012 3167 3175
12. P.V. den Kerkhof, J. Vanlaer, G. Gins, and J.F.M.V. Impe Analysis of smearing-out in contribution plot based fault isolation for statistical process control Chem. Eng. Sci. 104 2013 285 293
13. C.H. Zhao, and F.R. Gao Subspace decomposition based reconstruction modelling for fault diagnosis of multiphase batch processes Ind. Eng. Chem. Res. 52 2013 14613 14626
14. J.E. Jackson A User's Guide to Principal Components 1991 Wiley New York
15. A.J. Burnham, R. Viveros, and J.F. MacGregor Frameworks for latent variable multivariate regression J. Chemom. 10 1996 31 45
16. B.S. Dayal, and J.F. MacGregor Improved PLS algorithms J. Chemom. 11 1997 73 85
17. L.H. Chiang, E.L. Russell, and R.D. Braatz Fault diagnosis in chemical processes using fisher discriminant analysis discriminant partial least-squares, and principal component analysis Chemom. Intell. Lab. Syst. 50 2000 243 252
18. C.-C. Huang, T. Chen, and Y. Yao Mixture discriminant monitoring: a hybrid method for statistical process monitoring and fault diagnosis/isolation Ind. Eng. Chem. Res. 52 2013 10720 10731
19. L.H. Chiang, M.E. Kotanchek, and A.K. Kordon Fault diagnosis based on fisher discriminant analysis and support vector machines Comput. Chem. Eng. 28 2004 1389 1401
20. S. Yoon, and J.F. MacGregor Fault diagnosis with multivariate statistical models part I: using steady state fault signatures J. Process Control 11 2001 387 400
21. S.J. Qin, and W. Li Detection, identification, and reconstruction of faulty sensors with maximized sensitivity AIChE J. 45 1999 1963 1976
22. S.J. Qin, and W. Li Detection and identification of faulty sensors in dynamic processes AIChE J. 47 2001 1581 1593
23. J. Gertler, W. Li, Y. Huang, and T. McAvoy Isolation enhanced principal component analysis AIChE J. 45 1999 323 334
24. P. Miller, R.E. Swanson, and C.E. Heckler Contribution plots: a missing link in multivariate quality control Appl. Math. Comput. Sci. 8 1998 775 792
25. J.A. Westerhuis, S.P. Gurden, and A.K. Smilde Generalized contribution plots in multivariate statistical process monitoring Chemom. Intell. Lab. Syst. 51 2000 95 114
26. S.W. Choi, and I.B. Lee Multiblock PLS-based localized process diagnosis J. Process Control 15 2005 295 306
27. R. Dunia, and S.J. Qin Subspace approach to multidimensional fault identification and reconstruction AIChE J. 44 1998 1813 1831
28. H.H. Yue, and S.J. Qin Reconstruction-based fault identification using a combined index Ind. Eng. Chem. Res. 40 2001 4403 4414
29. L. Gang, C.F. Alcala, S.J. Qin, and Z. Donghua Generalized reconstruction-based contributions for output-relevant fault diagnosis with application to the Tennessee Eastman process IEEE Trans. Control Syst. Technol. 19 2011 1114 1127
30. J.L. Liu, and D.-S. Chen Fault isolation using modified contribution plots Comput. Chem. Eng. 61 2014 9 19
31. J.J. Hong, J. Zhang, and A.J. Morris Fault localisation in batch processes through progressive PCA modelling Ind. Eng. Chem. Res. 50 2011 8153 8162
32. C.H. Zhao, Y.X. Sun, and F.R. Gao A multiple-time-region (MTR)-based fault subspace decomposition and reconstruction modelling strategy for online fault diagnosis Ind. Eng. Chem. Res. 51 2012 11207 11217
33. C.H. Zhao, and Y.X. Sun Subspace decomposition approach of fault deviations and its application to fault reconstruction Control Eng. Pract. 21 2013 1396 1409
34. G. Golub, and W. Kahan Calculating the singular values and pseudo-inverse of a matrix J. Soc. Ind. Appl. Math.: Ser. B Numer. Anal. 2 1965 205 224
35. G.H. Golub, and C.F.V. Loan Matrix Computations 3rd ed. 1996 Johns Hopkins University Press Baltimore, MD, USA
36. C.A. Lowry, and D.C. Montgomery A review of multivariate control charts IIE Trans. 27 1995 800 810
37. J.E. Jackson Multivariate quality control Commun. Stat.: Theory Methods 14 1985 2657 2688
38. J.E. Jackson, and G.S. Mudholkar Control procedures for residuals associated with principal component analysis Technometrics 21 1979 341 349
39. P. Nomikos, and J.F. MacGregor Multivariate SPC charts for monitoring batch processes Technometrics 37 1995 41 59
40. J.J. Downs, and E.F. Vogel A plant-wide industrial process control problem Comput. Chem. Eng. 17 1993 245 255