References:
[1] R. Isermann, "Process Fault Detection Based On Modeling and
Estimation Methods - A Survey”. Automatica, 1984, vol. 20, no. 3, pp.
387-404.
[2] R. J. Patton, "Robust Model-Based Fault Diagnosis in Dynamic: The
State of Art”, Proceedings of the IFAC Symposium on Fault Detection,
Supervision and Safety for Process (SAFEPROCESS), Espoo, Fnland,
1994, pp. 1-24.
[3] D. Fragkoulis., G. Roux, B. Dahhou B, « A New Scheme for Detection,
Isolation and Identification of Single and Multiple Actuators Faults”,
IEEE International Conference on Pronostics and Health Management
(PHM 2008), Denver (USA), 6-9 Octobre 2008, 6p.
[4] J. J. Gertler,. "Fault Detection and Diagnosis in Engineering Systems”,
Marcel Dekker. New York, 1998.
[5] J. Chen, R. J. Patton, "Robust Model-Based Fault Diagnosis for
Dynamic systems”, Kluwer Academic Publishers. Masssachusetts, 1999.
[6] A. S. Willsky, "A Survey of Design Methods for Failure Detection in
Dynamic Systems”, Automatica, 12(6), pp. 601-611, 1976.
[7] H. L. Jones, "Failure Detection in Linear Systems”, Ph.D. Dissertation,
Dep. Aeronautics and Astronautics, Mass. Inst. Technol., Cambridge,
MA, Aug. 1973.
[8] N. Kabbaj, M. Polit, B. Dahhou and G. Roux, "Adaptive Observers
Based Fault Detection and Isolation for an Alcoholic Fermentation
Process”, 2001, 8th IEEE International Conference on Emerging
Technologies and Factory Automation, October 15-18, 2(2), pp. 669-
673, Antibes - Juan les Pins, France.
[9] M. A. Massoumnia, "A Geometric Approach to Failure Detection and
Identification in Linear Systems”, Ph.D. dissertation, Dep. Aeronautics
and Astronautics, Mass. Inst. Technol., Feb. 1986.
[10] Li Z. and Dahhou B.: A New Fault Isolation and Identification Method
for Nonlinear Dynamic Systems: Application to a Fermentation Process.
Applied Mathematical Modelling, 32 (2008), 2806-2830.
[11] P. M, Frank, "Fault Diagnosis in Dynamic Systems Using Analytical
and Knowledge-Based Redundancy: A Survey and Some New Results”.
Automatica, 26(3), 459–474, 1990.
[12] R. Isermann, "On the Applicability of Model-Based Fault Detection for
Technical Processes”, Control Engineering Practice, 2, pp. 439-450,
1994.
[13] R, Isermann and P. Balle, "Trends in the Application of Model-Based
Fault Detection and Diagnosis of Technical Processes”, Control
Engineering Practice, 5(5), pp. 709-719, 1997.
[14] R. J. Patton, P. M. Frank, and, R. N. Clark, "Issues of Fault Diagnosis
for Dynamic Systems”. London Limited: Springer Verlag, 2000.
[15] C. Bernstein, "Matrix Mathematic, Theory, Facts, and Formulas with
Application to Linear Systems Theory”, Princeton University Press,
Princeton and Oxford, 2005.
[16] F.Szigeti, A. R. Bolivar, "System Inversion and Fault Detection: The
Failure Affine Nonlinear Case”, Proceedings of the 10th Mediterranean
Conference on Control and Automation - MED2002 Lisbon, Portugal,
July 9-12, 2002.
[17] R. Kallol, R. N. Banavar, and S. Thangasamy, "Application of Fault
Detection and Identification (FDI) Techniques in Power Regulating
Systems of Nuclear Reactors", IEEE Transactions on Nuclear Science,
Vol. 45, No. 6, December 1998.
[18] M. K. Sain, J. L. Massey, "Invertibility of Linear Time-Invariant
Dynamical Systems”, IEEE Transactions on Automatic Control, V.AC-
14, No 2, April 1969.
