Handling Parametric and Non-parametric Additive Faults in LTV Systems

Abstract : We recently proposed and investigated a statistical approach to fault detection and isolation (FDI) for linear time-varying (LTV) systems subject to parametric additive faults with time-varying profiles, combining a generalized likelihood ratio (GLR) test and minmax tests with a new recursive filter that cancels out the dynamics of the monitored fault effects. In this paper we extend that approach to the case of LTV systems subject to both parametric and non-parametric additive faults. Two solutions for handling such cases are proposed, assuming either constant or slowly varying parametric faults.
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Communication dans un congrès
9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS), Sep 2015, Paris, France. 2015, 〈10.1016/j.ifacol.2015.09.579〉
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Contributeur : Qinghua Zhang <>
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Dernière modification le : mardi 16 janvier 2018 - 15:54:19
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Michèle Basseville, Qinghua Zhang. Handling Parametric and Non-parametric Additive Faults in LTV Systems. 9th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes (SAFEPROCESS), Sep 2015, Paris, France. 2015, 〈10.1016/j.ifacol.2015.09.579〉. 〈hal-01232167〉

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