Descripción
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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. | |
Internacional
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Si |
JCR del ISI
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Si |
Título de la revista
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Annual Reviews in Control |
ISSN
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1367-5788 |
Factor de impacto JCR
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1,29 |
Información de impacto
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Categoría: Automation & Control Systems Posición: 27/59 |
Volumen
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37 |
DOI
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10.1016/J.ARCONTROL.2013.03.002 |
Número de revista
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Desde la página
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43 |
Hasta la página
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55 |
Mes
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MAYO |
Ranking
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Categoría: Automation & Control Systems Posición: 27/59 |