A unified approach to the optimization of fault detection systems

In this paper, problems of optimizing observer-based fault detection (FD) systems in the sense of increasing the robustness to the unknown inputs and simultaneously enhancing the sensitivity to the faults are studied. The core of the study is the development of an approach that simultaneously solves four optimization problems. Different algorithms are derived for the application of this approach to the optimal selection of post-filters as well as optimization of fault detection filters, and to the systems with and without structure constraints. The achieved results also reveal some interesting relationships among the optimization problems considered. Copyright © 2000 John Wiley & Sons, Ltd.

[1]  George C. Verghese,et al.  Optimally robust redundancy relations for failure detection in uncertain systems , 1986, Autom..

[2]  J.J. Gertler,et al.  Survey of model-based failure detection and isolation in complex plants , 1988, IEEE Control Systems Magazine.

[3]  M. M. Akhter,et al.  Effect of model uncertainty on failure detection: the threshold selector , 1988 .

[4]  P. Frank,et al.  Fault detection via factorization approach , 1990 .

[5]  Paul M. Frank,et al.  Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results , 1990, Autom..

[6]  Janos J. Gertler,et al.  Analytical Redundancy Methods in Fault Detection and Isolation , 1991 .

[7]  Pramod P. Khargonekar,et al.  Fault detection in the presence of modeling uncertainty , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

[8]  Paul M. Frank,et al.  A frequency domain approach to fault detection of uncertain dynamic systems , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

[9]  H Meerkamm.  Design System Mfk—An Important Step towards an Engineering Workbench , 1993 .

[10]  P. Frank.  Enhancement of robustness in observer-based fault detection† , 1994 .

[11]  Steven X. Ding,et al.  Frequency domain approach to optimally robust residual generation and evaluation for model-based fault diagnosis , 1994, Autom..

[12]  Jakob Stoustrup,et al.  Filter design for failure detection and isolation in the presence of modeling errors and disturbances , 1996, Proceedings of 35th IEEE Conference on Decision and Control.

[13]  Jeffrey C. Kantor,et al.  Residual generation and fault detection for discrete-time systems using an l∞ technique , 1996 .

[14]  P. Frank,et al.  Survey of robust residual generation and evaluation methods in observer-based fault detection systems , 1997 .

[15]  X. Ding,et al.  On Observer Based Fault Detection , 1997 .

[16]  László Keviczky,et al.  Robust detection filter design in the presence of time-varying system perturbations , 1997, Autom..

[17]  Michèle Basseville,et al.  Information criteria for residual generation and fault detection and isolation , 1997, Autom..

[18]  Dominique Sauter,et al.  Robust Fault Diagnosis in an H∞ Setting , 1997 .

[19]  Jason L. Speyer,et al.  H Bounded Fault Detection Filter , 1999 .