The diagnoses in industrial systems represent an important economic objective in process industrial automation area. To guarantee the safety and the continuity in production exploitation and to record the useful events with the feedback experience for the curative maintenance. We propose in this work to examine and illustrate the application ability of the spectral analysis approach, in the area of fault detection and isolation industrial systems. In this work, we use a combined analysis diagram of time-frequency, in order to make this approach exploitable in the proposed supervision strategy with decision making module. The obtained results, show clearly how to guarantee a reliable and sure exploitation in industrial system, thus allowing better performances at the time of its exploitation on the supervision strategy.
Cite this paper
A. Hafaifa, M. Guemana and A. Daoudi, "Fault Detection and Isolation in Industrial Systems Based on Spectral Analysis Diagnosis," Intelligent Control and Automation, Vol. 4 No. 1, 2013, pp. 36-41. doi: 10.4236/ica.2013.41006.
 C. M. Xia, J. Howell and N. F. Thornhill, “Detecting and Isolating Multiple Plant-Wide Oscillations via Spectral Independent Component Analysis,” Automatica, Vol. 41, No. 12, 2005, pp. 2067-2075.
 O. Coutier-Delgosha, R. Fortes-Patella and J. L. Reboud, “Evaluation of the Turbulence Model Influence on the Numerical Simulations of Unsteady Cavitation,” Journal of Fluids Engineering, Vol. 125, No. 1, 2003, pp. 38-45.
 A. Hafaifa, A. Daoudi and K. Laroussi, “Application of Fuzzy Diagnosis in Fault Detection and Isolation to the Compression System Protection,” Control and Intelligent Systems ACTA Press, Vol. 39, No. 3, 2011, pp. 151-158.
 A. Hafaifa, F. Laaouad and K. Laroussi, “A Numerical Structural Approach to Surge Detection and Isolation in Compression Systems Using Fuzzy Logic Controller,” International Journal of Control, Automation, and Systems, Vol. 9, No. 1, 2011, pp. 69-79.
 Y. Tsujimoto, Y. Yoshida, Y. Maekawa, S. Watanabe, and T. Hashimoto, “Observations of Oscillating Cavitation of an Inducer,” Journal of Fluids Engineering, Vol. 119, No. 1, 1997, pp. 775-781. doi:10.1115/1.2819497
 J. L. Weiss, “Threshold Computations for Detection of Failures in SISO Systems with Transfer Function Errors,” Proceedings of the American Control Conference, Atlanta, 15-17 June 1988, pp. 2213-2218.
 A. S. Willsky, “A Survey of Design Methods for Failure Detection in Dynamic Systems,” Automatica Journal, Vol. 12, 1976, pp. 601-611.
 A. Hafaifa, F. Laaouad and K. Laroussi, “Fuzzy Logic Approach Applied to the Surge Detection and Isolation in Centrifugal Compressor,” Automatic Control and Computer Sciences, Vol. 44, No. 1, 2010, pp. 53-59.
 M. Guemana, S. Aissani and A. Hafaifa, “Use a New Calibration Method for Gas Pipelines: An Advanced Method Improves Calibrating Orifice Flowmeters While Reducing Maintenance Costs,” Hydrocarbon Processing Journal, Vol. 90, No. 8, 2011, pp. 63-68.
 D. Van Schrick, “Estimator Schemes for Instrument Fault Detection and Isolation,” IEEE Proceeding of the International Conference on System, Man and Cybernetic, Le-Touquet, 17-20 October 1993, pp. 406-411.
 B. K. Walker and E. Gai, “Fault Detection Threshold Determination Techniques Using Markov Theory,” International Journal Guidance, Control and Dynamics, Vol. 2, No. 4, 1979, pp. 313-319. doi:10.2514/3.55881
 P. Weber, S. Gentil, P. Ripoll and L. Foulloy, “Multiple Fault Detection and Isolation,” Proceeding of the 14th IFAC World Congress, Vol. P, No. 7e-092, 1999, pp. 223-228.
 H. L. Jiang, M. A. A. Shoukat Choudhury and L. Sirish Shah, “Detection and Diagnosis of Plant-Wide Oscillations from Industrial Data Using the Spectral Envelope Method,” Journal of Process Control, Vol. 17, No. 2, 2007, pp. 143-155. doi:10.1016/j.jprocont.2006.09.006