Sensor and Actuator Fault Isolation Using Parameter Interval based Method for Nonlinear Dynamic Systems

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Zetao Li Boutaieb Dahhou Gilles Roux Jing Yang Cuixia Zhang

Abstract

Fault isolation problem for sensor and actuator in nonlinear dynamic systems is studied. Parame- ter interval based fault isolation method has fast isolation speed and fits many kinds of nonlinear dynamic systems. This method is extended to the isolation of sensor fault and actuator fault. The example shows good performance.

How to Cite

Li , Z., Dahhou, B., Roux, G., Yang, J., & Zhang, C. (2010). Sensor and Actuator Fault Isolation Using Parameter Interval based Method for Nonlinear Dynamic Systems. Annual Conference of the PHM Society, 2(2). https://doi.org/10.36001/phmconf.2010.v2i1.1945
Abstract 13 | PDF Downloads 19

##plugins.themes.bootstrap3.article.details##

Keywords

Diagnosis and fault isolation methods, Sensor fault isolation, Actuator fault isolation, Parameter interval

References
(1) Hammouri, H., Kinnaert, M., and EI Yaagoubi, E. H. (1999). Observer based approach to fault detection and isolation for nonlinear systems. IEEE Transactions on Automatic Control, 44, 10, pp 1879-1884.

(2) De Persis, C., and Isidori, A. (2001). A geometric approach to nonlinear fault detection and isolation. IEEE Transactions on Automatic Control, 46(6), pp 853-865.

(3) Hammouri, H., Kabore, P., Othman, S., and Bis- ton, J. (2002). Failure diagnosis and nonlinear observer application to a hydraulic process. Journal of the Franklin Institute, 339, pp 455-478.

(4) Comtet-Varga, G., Cassar, J. Ph., and Staroswiecki, M. (1997). Analytic redundancy relations for state affine systems. Proceedings of the fourth European Control Conference (ECC’97, Brussels, Belgium).

(5) Staroswiecki, M., and Comtet-Varga, G. (2001). Analytical redundancy relations for fault detection and isolation in algebraic dynamic systems. Automatica, 37, pp 687-699.

(6) Zhang, Q. (2000). A new residual generation and evaluation method for detection and isolation of faults in non-linear systems. International Journal of Adaptive Control and Signal Processing, 14 (2000) 759-773.

(7) Xu, A., and Zhang, Q. (2004). Nonlinear system fault diagnosis based on adaptive estimation. Automatica, 40, pp 1181-1193.

(8) Zetao Li and B.Dahhou (2006). Parameter Intervals used for Fault Isolation in Nonlinear Dynamic Systems. International Journal of Modeling, Identification and Control, Vol. 1, No. 3, 2006.

(9) Zetao Li and B.Dahhou (2007). Fault Isolation for Nonlinear Dynamic Systems Based on Parameter Intervals. International Journal of Systems Science, Vol.38, Issue7,2007,pp.531-547.

(10) Zetao Li and B.Dahhou(2008).A New Fault Isolation and Identification Method for Nonlinear Dynamic Systems: Application to a Fermentation Process. Applied Mathematical Modelling, 32 (2008) 2806-2830.

(11) Zhang, X. Parisini, T. Polycarpou, M.M. (2005). Sensor Bias Fault Isolation in a Class of Non- linear Systems. IEEE Transactions on Automatic Control, March 2005 Volume: 50, Issue: 3, On page(s): 370- 376.
Section
Technical Papers