Abstract
All failure detection methods are based on the use of redundancy, that is on (possible dynamic) relations among the measured variables. Consequently the robustness of the failure detection process depends to a great degree on the reliability of the redundancy relations given the inevitable presence of model uncertainties. In this paper we address the problem of determining redundancy relations which are optimally robust in a sense which includes the major issues of importance in practical failure detection and which provides us with a significant amount of intuition concerning the geometry of robust failure detection.
This research was supported in part by The Office of Naval Research under Grant N00014-77-C-0224 and by NASA Ames and NASA Langley Research Centers under Grant NGL-22-009-124.
Also affiliated with the M.I.T. Laboratory for Information and Decision Systems.
Also affiliated with the M.I.T. Electric Power Systems Engineering Laboratory.
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References
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© 1985 Springer-Verlag
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Chow, E.Y., Lou, XC., Verghese, G.C., Willsky, A.S. (1985). Redundancy relations and robust failure detection. In: Basseville, M., Benveniste, A. (eds) Detection of Abrupt Changes in Signals and Dynamical Systems. Lecture Notes in Control and Information Sciences, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0006396
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DOI: https://doi.org/10.1007/BFb0006396
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