Bayesian methods for control loop diagnosis in the presence of temporal dependent evidences

Automatica

Volumn 47, Issue 7, 2011, Pages 1349-1356

  Qi, Fei ^a   Huang, Biao ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Bayesian diagnosis; Evidence dependency; Performance assessment; Performance monitoring

Indexed keywords

BAYESIAN APPROACHES; BAYESIAN DIAGNOSIS; BAYESIAN FRAMEWORKS; BAYESIAN METHODS; CONTROL LOOP; CONTROL-LOOP PERFORMANCE; DATA DEPENDENCIES; DATA-DRIVEN; DIAGNOSIS PERFORMANCE; ENGINEERING PROBLEMS; EVIDENCE DEPENDENCY; PERFORMANCE ASSESSMENT; PERFORMANCE MONITORING; PILOT SCALE; SIMULATED DISTILLATION; TEMPORAL INFORMATION; TRANSITION PROBABILITIES;

DATA HANDLING; DISTILLATION; DISTILLATION COLUMNS;

BAYESIAN NETWORKS;

EID: 79957508307     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.automatica.2011.02.015     Document Type: Article

References (21)

1. S. Ahmed, B. Huang, and S.L. Shah Validation of continuous-time models with delay Chemical Engineering Science 64 3 2009 443 454
2. C.-F. Chien, S.-L. Chen, and Y.-S. Lin Using bayesian network for fault location on distribution feeder IEEE Transactions on Power Delivery 17 13 2002 785 793
3. M.-A.-A.-S. Choudhury, M. Jain, and S.L. Shah Stiction-definition, modelling, detection and quantification Journal of Process Control 18 34 2008 232 243
4. Morris H. DeGroot Optimal statistical decisions 1970 McGraw-Hill New York
5. S. Dey, and J.A. Stori A bayesian network approach to root cause diagnosis of process variations International Journal of Machine Tools 45 1 2005 75 91
6. J.B. Duluc, T. Zimmer, N. Milet, and J.P. Dom A wafer level reliability method for short-loop processing Microelectron Reliab 36 11/12 1996 1859 1862
7. T.J. Harris, C.T. Seppala, and L.D. Desborough A review of performance monitoring and assessment techniques for univariate and multivariate control systems Journal of Process Control 9 1 1999 1 17
8. K.A. Hoo, M.J. Piovoso, P.D. Sheneller, and D.A. Rowan Process and controller performance monitoring: overview with industrial applications International Journal of Adaptive Control and Signal Processing 17 2003 635 662
9. B. Huang Bayesian methods for control loop monitoring and diagnosis Journal of Process Control 18 9 2008 826 838
10. B. Huang, and S.L. Shah Performance assessment of control loops 1999 Springer-Verlag
11. A.J. Hugo Performance assessment of single-loop industrial controllers Journal of Process Control 16 2006 784 794
12. M. Jelali An overview of control performance assessment technology and industrial applications Control Engineering Practice 14 5 2006 441 466 (Pubitemid 43092173)
13. N. Mehranbod, M. Soroush, and C. Panjapornpon A method of sensor fault detection and identification Journal of Process Control 15 3 2005 321 339
14. R.S. Patwardhan, and S.L. Shah Issues in performance diagnostics of model-based controllers Journal of Process Control 12 3 2002 413 427 (Pubitemid 34156702)
15. Pernestal, A. A Bayesian approach to fault isolation with application to diesel engine diagnose. PhD thesis, KTH School of Electrical Engineering, 2007.
16. F. Qi, B. Huang, and E.C. Tamayo A bayesian approach for control loop diagnosis with missing data AIChE Journal 56 1 2010 179 195
17. S.J. Qin Control performance monitoring-a review and assessment Computers & Chemical Engineering 23 2 1998 173 186 (Pubitemid 29130682)
18. S.J. Qin, and W. Li Detection and identification of faulty sensors in dynamic process AIChE Journal 47 7 2001 1581 1593 (Pubitemid 36858841)
19. J. Schafer, and A. Cinar Multivariable mpc system performance assessment, monitoring, and diagnosis Journal of Process Control 14 2 2006 113 129
20. M. Steinder, and A.S. Sethi Probabilistic fault localization in communication systems using belief networks IEEE/ACM Transactions on Networking 12 5 2004 809 822
21. U. Volk, D.W. Kniese, R. Hahn, R. Haber, and U. Schmitz Optimized multivariable predictive control of an industrial distillation column considering hard and soft constrains Control Engineering Practice 13 7 2004 809 822