Enhanced monitoring using PCA-based GLR fault detection and multiscale filtering

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Control and Automation, CICA 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013

Volumn , Issue , 2013, Pages 1-8

  Harrou, Fouzi ^a   Nounou, Mohamed N ^a   Nounou, Hazem N ^a  

^a TEXAS A AND M UNIVERSITY AT QATAR   (Qatar)

Author keywords

[No Author keywords available]

Indexed keywords

DETECTION PROBABILITIES; ENHANCED MONITORING; FAULT DETECTION ALGORITHM; GENERALIZED LIKELIHOOD RATIO TEST; MULTI-SCALE FILTERING; MULTIVARIATE STATISTICAL METHOD; PRESENCE OF MEASUREMENT NOISE; STATISTICAL HYPOTHESIS TESTING;

ALARM SYSTEMS; ARTIFICIAL INTELLIGENCE; ERRORS; PRINCIPAL COMPONENT ANALYSIS; PROCESS MONITORING; SIGNAL DETECTION; TESTING;

FAULT DETECTION;

EID: 84885992978     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CICA.2013.6611656     Document Type: Conference Paper

References (31)

1. Venkatasubramanian, V., Rengaswamy, R., Kavuri, S., Yin, K., A review of process fault detection and diagnosis part I: Quantitative model-based methods. Computers and Chemical Engineering 27, 293-311, 2003.
2. Venkatasubramanian, V., Rengaswamy, R., Kavuri, S., Yin, K., A review of process fault detection and diagnosis part III: Process history based methods. Computers and Chemical Engineering 27, 327-346, 2003.
3. A. Borovkov, Mathematical Statistics. Amsterdam: Gordon and Breach Sciences Publishers, 1998.
4. Nuninger, W., Kratz, F., Ragot, J., Observers and redundancy equations generation for systems with unknown inputs. In: Symposium on modelling, analysis and simulation. CESA'96, FAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, 26-28 July 1996.
5. Adrot, O., Maquin, D., Ragot, J., Bounding approaches to fault detection of uncertain dynamic systems. In: IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS'2000. Budapest: Hungary, pp. 1168-1173, 2000.
6. Patton, R. J., Chen, J., A review of parity space approaches to fault diagnosis. In: Proceedings of SAFEPROCESS'91. pp. 239-255, 1991.
7. Subbaraj, P., Kannapiran, B., Artificial neural network approach for fault detection in pneumatic valve in cooler water spray system. International Journal of Computer Applications 9 (7), 43-52, 2010.
8. Dexter, A., Benouarets, M., Generic approach to identifying faults in hvac plants. ASHRAE Transactions 102 (1), 550-556, 1996.
9. S. Qin, Statistical process monitoring: Basics and beyond, Journal of Chemometrics, vol. 17, no. 8/9, pp. 480-502, 2003.
10. H. Hotelling, Analysis of a complex of statistical variables into principal components, Journal of Educational Psychology, vol. 24, pp. 417-441, 1933.
11. G. E. P. Box, Some theorems on quadratic forms applied in the study of analysis of variance problems: Effect of inequality of variance in oneway classification, The Annals of Mathematical Statistics, vol. 25, pp. 290-302, 1954.
12. J. Romagnoli and A. Palazoglu, Introduction to process control, CRC Press, United States of America, 2006.
13. S. Wang and Y. Chen, Sensor validation and reconstruction for building central chilling systems based on principal component analysis, Energy Conversion and Management, vol. 45, no. 5, 2004.
14. M. Harkat, G. Mourot, and J. Ragot, An improved pca scheme for sensor FDI: application to an air quality monitoring network, Journal of Process Control, vol. 16, no. 6, pp. 625-634, 2006.
15. M. Fouladirad and I. Nikiforov, Optimal statistical fault detection with nuisance parameters, Automatica, vol. 41, no. 7, pp. 1157-1171, July 2005.
16. F. Harrou, L. Fillatre, and I. Nikiforov, Bounded nuisance rejection and redundant sensor network, in International Conference, System Identification and Control Problems, SICPRO'09, Moscow, January 26-30, 2009, pp. 786-795.
17. J. MacGregor and T. Kourti, Statistical process control of multivariate processes, Control Engineering Practice, vol. 3, no. 3, 1995.
18. P. Ralston, G. DePuy, and J. Graham, Computer-based monitoring and fault diagnosis: a chemical process case study, ISA Transactions, vol. 40, no. 1, 2001.
19. J. Jackson and G. Mudholkar, Control procedures for residuals associated with principal component analysis, Technometrics, vol. 21, p. 341349, 1979.
20. M. Zhu and A. Ghodsi, Automatic dimensionality selection from the scree plot via the use of profile likelihood, Computational Statistics & Data Analysis, vol. 51, pp. 918-930, 2006.
21. G. Diana and C. Tommasi, Cross-validation methods in principal component analysis: A comparison, Statistical Methods & Applications, vol. 11, no. 1, pp. 71-82, 2002.
22. I. Jolliffe, Principal component analysis, second edition, Springer, Berlin, 2002.
23. A. Benaicha, M. Guerfel, N. Boughila, and K. Benothman, New pca-based methodology for sensor fault detection and localization, in MOSIM'10, Hammamet-Tunisia, May 10-12 2010.
24. T. Severini, Likelihood Methods in Statistics. Oxford: Oxford University Press, 2000.
25. Wald, A., Tests of statistical hypotheses concerning several parameters when the number of observations is large. Transactions of the American Mathematical Society 54, 426482, 1943.
26. C. Vlachokostas, S. Nastis, C. Achillas, K. Kalogeropoulos, I. Karmiris, N. Moussiopoulos, E. Chourdakis, G. Banias, and N. Limperi, Economic damages of ozone air pollution to crops using combined air quality and gis modelling, Atmospheric Environment, vol. 44, pp. 3352-3361, 2010.
27. A. Detournay, S. L. Meur, and V. Delmas, Understanding of the atypical ozone peaks phenomenon observed around the petrochemical industrial zone of port-jerome in upper normandy, france, Pollution atmosphrique, vol. 196, pp. 405-422, 2007.
28. G. Brulfert, O. Galvez, F. Yang, and J. Sloan, A regional modelling study of the high ozone episode of june 2001 in southern ontari, Atmospheric Environment, vol. 41, pp. 3777-3788, 2007.
29. G. Strang, Wavelets and Dilation Equations,SIAM Rev., vol. 31, pp. 614-627, 1989.
30. B. Bakshi, Multiscale Analysis and Modeling using Wavelets, Chemometrics, vol. 13, no. 1-3, pp. 415-434, 1999.
31. D. Donoho and I. Johnstone and G. Kerkyacharian and D. Picard, Wavelet Shrinkage: Asymptotia?,J. Royal Stat. Soc. B, vol. 57, pp. 301-369, 1995.