Quality-related fault detection in industrial multimode dynamic processes

IEEE Transactions on Industrial Electronics

Volumn 61, Issue 11, 2014, Pages 6446-6453

  Haghani, Adel ^a   Jeinsch, Torsten ^a   Ding, Steven X ^b  

^a UNIVERSITY OF ROSTOCK   (Germany)

^b UNIVERSITY OF DUISBURG ESSEN   (Germany)

Author keywords

Data driven; fault detection (FD); multimode systems; nonlinear systems; paper machine

Indexed keywords

FAULT DETECTION; LINEAR SYSTEMS; NONLINEAR SYSTEMS; PAPER PRODUCTS; PAPERMAKING; PAPERMAKING MACHINERY; PIECEWISE LINEAR TECHNIQUES;

COMPLEX INDUSTRIAL SYSTEMS; DATA-DRIVEN; FAULT DETECTION TECHNIQUES; MULTIMODE SYSTEM; MULTIVARIATE STATISTICAL PROCESS MONITORING; PAPER MACHINE; PIECE-WISE LINEAR SYSTEMS; PROCESS CHARACTERISTICS;

INDUSTRY;

EID: 84902326995     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2014.2311409     Document Type: Article

References (42)

1. C. Aubrun and D. Sauter, "SOA-based platform implementing a structural modelling for large-scale system fault detection: Application to a board machine, " in Proc. IEEE Multi-Conf. Syst. Control, Dubrovnik, Croatiea, Oct. 2012, pp. 681-685.
2. Y. Bissessur, E. B. Martin, and A. J. Morris, "Monitoring the performance of the paper making process, " Control Eng. Practice, vol. 7, no. 11, pp. 1357-1368, Nov. 1999. (Pubitemid 30063656)
3. G. Box, G. M. Jenkins, and G. Reinsel, Time Series Analysis: Forecasting & Control, 3rd ed. Englewood Cliffs, NJ, USA: Prentice-Hall, Feb. 1994.
4. D. U. Campos-Delgado and D. R. Espinoza-Trejo, "An observer-based diagnosis scheme for single and simultaneous open-switch faults in induction motor drives, " IEEE Trans. Ind. Electron, vol. 58, no. 2, pp. 671-679, Feb. 2011.
5. H. Cheng, M. Nikus, and S. L. Jämsä-Jounela, "Causal model based fault diagnosis applied on a paper machine simulator, " in Proc. 1st IFAC Workshop Appl. Large Scale Ind. Syst., Helsinki, Finland, Aug. 2006, pp. 214-219.
6. H. Cheng, M. Nikus, and S. L. Jämsä-Jounela, "Evaluation of PCA methods with improved fault isolation capabilities on a paper machine simulator, " Chemometr. Intell. Lab. Syst., vol. 92, no. 2, pp. 186-199, Jul. 2008.
7. V. Choqueuse, M. E. H. Benbouzid, Y. Amirat, and S. Turri, "Diagnosis of three-phase electrical machines using multidimensional demodulation techniques, " IEEE Trans. Ind. Electron., vol. 59, no. 4, pp. 2014-2023, Apr. 2012.
8. E. Chow and A. S. Willsky, "Analytical redundancy and the design of robust failure detection systems, " IEEE Trans. Autom. Control, vol. 29, no. 7, pp. 603-614, Jul. 1984. (Pubitemid 14608327)
9. J. Deng and B. Huang, "Identification of nonlinear parameter varying systems with missing output data, " AIChE J., vol. 58, no. 11, pp. 3454-3467, Nov. 2012.
10. S. Ding, S. Yin, K. Peng, H. Hao, and B. Shen, "A novel scheme for key performance indicator prediction and diagnosis with application to an industrial hot strip mill, " IEEE Trans. Ind. Inf., vol. 9, no. 4, pp. 2239-2247, Nov. 2013.
11. S. X. Ding, Model-Based Fault Diagnosis Techniques: Design Schemes, Algorithms, Tools, 1st ed. New York, NY, USA: Springer-Verlag, Apr. 2008.
12. S. X. Ding, P. Zhang, E. Ding, S. Yin, A. Naik, P. Deng, and W. Gui, "On the application of PCA technique to fault diagnosis, " Tsinghua Sci. Technol., vol. 15, no. 2, pp. 138-144, Apr. 2010.
13. G. A. Dumont, "Application of advanced control methods in the pulp and paper industry: A survey, " Automatica, vol. 22, no. 2, pp. 143-153, Mar. 1986.
14. A. Haghani, S. X. Ding, J. Esch, and H. Hao, "Data-driven quality monitoring and fault detection for multimode nonlinear processes, " in Proc. IEEE 51st Conf. Decision Control, Maui, HI, USA, Dec. 2012, pp. 1239-1244.
15. A. Haghani, S. X. Ding, H. Hao, S. Yin, and T. Jeinsch, "An approach for multimode dynamic process monitoring using Bayesian inference, " in Proc. 8th IFAC Symp. Fault Detection, Supervision Safety Tech. Process., Mexico City, Mexico, Aug. 2012, pp. 1011-1016.
16. H. Holik, Handbook of Paper and Board. Hoboken, NJ, USA: Wiley, Oct. 2006.
17. B. Huang, "Bayesian methods for control loop monitoring and diagnosis, " J. Process Control, vol. 18, no. 9, pp. 829-838, Oct. 2008.
18. S.-L Jämsä-Jounela, V.-M. Tikkala, A. Zakharov, O. Pozo Garcia, H. Laavi, T. Myller, T. Kulomaa, and V. Hämäläinen, "Outline of a fault diagnosis system for a large-scale board machine, " Int. J. Adv. Manuf. Technol., vol. 65, no. 9-12, pp. 1741-1755, Jun. 2012.
19. X. Jin and B. Huang, "Robust identification of piecewise/switching au-toregressive exogenous process, " AIChE J., vol. 56, no. 7, pp. 1829-1844, Nov. 2009.
20. X. Jin and B. Huang, "Identification of switched Markov autoregressive eXogenous systems with hidden switching state, " Automatica, vol. 48, no. 2, pp. 436-441, Feb. 2012.
21. X. Jin, B. Huang, and D. S. Shook, "Multiple model LPV approach to nonlinear process identification with EM algorithm, " J. Process. Control, vol. 21, no. 1, pp. 182-193, Jan. 2011.
22. A. L. Juloski, S. Weiland, and W. Heemels, "A Bayesian approach to identification of hybrid systems, " IEEE Trans. Autom. Control, vol. 50, no. 10, pp. 1520-1533, Oct. 2005. (Pubitemid 41555602)
23. T. Kohonen, E. Oja, O. Simula, A. Visa, and J. Kangas, "Engineering applications of the self-organizing map, " Proc. IEEE, vol. 84, no. 10, pp. 1358-1384, Oct. 1996.
24. M. A Massoumnia and W. E. Van der Velder, "Generating parity relations for detecting and identifying control system component failures, " J. Guid., Control, Dyn., vol. 11, no. 1, pp. 60-65, Feb. 1988.
25. G. J. McLachlan and T. Krishnan, The EM Algorithm and Extensions. Hoboken, NJ, USA: Wiley, Feb. 2008.
26. H. Nakada, K. Takaba, and T. Katayama, "Identification of piecewise affine systems based on statistical clustering technique, " Automatica, vol. 41, no. 5, pp. 905-913, May 2005. (Pubitemid 40352405)
27. S. J. Qin, "Statistical process monitoring: Basics and beyond, " J. Chemometr., vol. 17, no. 8/9, pp. 480-502, 2003.
28. J. Ragot, G. Mourot, and D. Maquin, "Parameter estimation of switching piecewise linear system, " in Proc. IEEE 42nd Conf. Decision Control, Dec. 2003, vol. 6, pp. 5783-5788.
29. K. Rothenhagen and F. W. Fuchs, "Doubly fed induction generator model-based sensor fault detection and control loop reconfiguration, " IEEE Trans. Ind. Electron., vol. 56, no. 10, pp. 4229-4238, Oct. 2009.
30. O. Slätteke, "Modeling and Control of the Paper Machine Drying Section, " Ph.D. dissertation, Dept. Autom. Control, Lund Univ., Lund, Sweden, Jan., 2006.
31. V.-M. Tikkala and S.-L. Jämsä-Jounela, "Monitoring of caliper sensor fouling in a board machine using self-organising maps, " Expert Syst. Appl., vol. 39, no. 12, pp. 11228-11233, Sep. 2012.
32. V. Verdult and M. Verhaegen, "Subspace identification of piecewise linear systems, " in Proc. 43rd IEEE Conf. Decision Control, Dec. 2004, vol. 4, pp. 3838-3843. (Pubitemid 40287004)
33. B. M. Wise and N. B. Gallagher, "The process chemometrics approach to process monitoring and fault detection, " J. Process Control, vol. 6, no. 6, pp. 329-348, Dec. 1996. (Pubitemid 126375552)
34. S. Wold, "Cross-validatory estimation of the number of components in factor and principal components models, " Technometrics, vol. 20, no. 4, pp. 397-405, Nov. 1978.
35. Y. Xiong and D. Y. Yeung, "Mixtures of ARMA models for model-based time series clustering, " in Proc. IEEE Int. Conf. Data Mining, 2002, pp. 717-720.
36. Y. Xiong and D. Y. Yeung, "Time series clustering with ARMA mixtures, " Pattern Recog., vol. 37, no. 8, pp. 1675-1689, Aug. 2004. (Pubitemid 38728581)
37. S. Yin, S. X. Ding, A. Haghani, H. Hao, and P. Zhang, "A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process, " J. Process Control, vol. 22, no. 9, pp. 1567-1581, Oct. 2012.
38. S. Yin, S. X. Ding, P. Zhang, A. Haghani, and A. Naik, "Study on modifications of PLS approach for process monitoring, " in Proc. 18th IFAC World Congr., Milan, Italy, Aug. 2011.
39. S. Yin, H. Luo, and S. X. Ding, "Real-time implementation of fault-tolerant control systems with performance optimization, " IEEE Trans. Ind. Electron., vol. 61, no. 5, pp. 2402-2411, May 2014.
40. S. Yin, G. Wang, and H. R. Karimi, "Data-driven design of robust fault detection system for wind turbines, " Mechatronics, 2013, to be published.
41. J. Yu and S. J. Qin, "Multimode process monitoring with Bayesian inference-based finite Gaussian mixture models, " AIChE J., vol. 54, no. 7, pp. 1811-1829, Jul. 2008. (Pubitemid 352006869)
42. J. Yu, "Local and nonlocal preserving projection for bearing defect classification and performance assessment, " IEEE Trans. Ind. Electron., vol. 59, no. 5, pp. 2363-2376, May 2012.