Fault isolation schemes for a class of continuous-time stochastic dynamical systems

Authors:  Ángela Castillo, Pedro J. Zufiria

Abstract:
In this paper a new method for fault isolation in a class of continuous-time stochastic dynamical systems is proposed. The method is framed in the context of model-based analytical redundancy, consisting in the generation of a residual signal by means of a diagnostic observer, for its posterior analysis. Once a fault has been detected, and assuming some basic a priori knowledge about the set of possible failures in the plant, the isolation task is then formulated as a type of on-line statistical classification problem. The proposed isolation scheme employs in parallel different hypotheses tests on a statistic of the residual signal, one test for each possible fault. This isolation method is characterized by deriving for the unidimensional case, a sufficient isolability condition as well as an upperbound of the probability of missed isolation. Simulation examples illustrate the applicability of the proposed scheme. 

Published in: Annual Reviews in Control  (Volume 37, Issue 1, April  2013)

Publisher: Elsevier

ISSN Information: 1367-5788

Fault isolation schemes for a class of continuous-time stochastic dynamical systems

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