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Fault diagnosis based on the enclosure of parameters estimated with an adaptive observer

Abstract : The proposed fault diagnosis approach associates an adaptive observer for residual generation with set-membership computations based on zonotopes for residual evaluation. The main advantage of this approach is its rigorous propagation of pre-specified modeling uncertainty bounds to the computed residuals. Within the assumed modeling uncertainty bounds, fault detection is guaranteed to be free of false alarm, while the efforts made with set-membership computation minimize the conservativeness of fault detection decisions. The novelty compared to earlier works mainly resides in a guaranteed robustness to bounded parameter variations and in a method for dealing with occasional lack of input excitation.
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https://hal.inria.fr/hal-00854789
Contributor : Qinghua Zhang <>
Submitted on : Wednesday, August 28, 2013 - 10:42:04 AM
Last modification on : Friday, May 25, 2018 - 12:02:05 PM

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Christophe Combastel, Qinghua Zhang, Abdelhalim Lalami. Fault diagnosis based on the enclosure of parameters estimated with an adaptive observer. 17th IFAC World Congress, Jul 2008, Seoul, South Korea. pp.7314-7319, ⟨10.3182/20080706-5-KR-1001.01237⟩. ⟨hal-00854789⟩

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