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Fault diagnosis by refining the parameter uncertainty space of nonlinear dynamic systems

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

IEEE

Author: 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
Document access: http://hdl.handle.net/2072/63326
Language: eng
Publisher: IEEE
Rights: Tots els drets reservats
Subject: Anàlisi d’intervals (Matemàtica)
Errors de diagnòstic
Sistemes dinàmics diferenciables
Diagnostic errors
Differentiable dynamical systems
Interval analysis (Mathematics)
Title: Fault diagnosis by refining the parameter uncertainty space of nonlinear dynamic systems
Type: info:eu-repo/semantics/article
Repository: Recercat

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