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Título:	Fault diagnosis by refining the parameter uncertainty space of nonlinear dynamic systems
Autor/a:	Gelso, Esteban Reinaldo; Castillo, Sandra M.; Armengol Llobet, Joaquim
Abstract:	This paper deals with fault detection and isolation problems for nonlinear dynamic systems. Both problems are stated as constraint satisfaction problems (CSP) and solved using consistency techniques. The main contribution is the isolation method based on consistency techniques and uncertainty space refining of interval parameters. The major advantage of this method is that the isolation speed is fast even taking into account uncertainty in parameters, measurements, and model errors. Interval calculations bring independence from the assumption of monotony considered by several approaches for fault isolation which are based on observers. An application to a well known alcoholic fermentation process model is presented
Fecha de creación:	09-06-2010
Materia(s):	-Anàlisi d'intervals (Matemàtica) -Errors de diagnòstic -Sistemes dinàmics diferenciables -Diagnostic errors -Differentiable dynamical systems -Interval analysis (Mathematics)
Derechos:	Tots els drets reservats
Tipo de documento:	Artículo
Editor:	IEEE
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