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Robust Design of Fault Detection and Isolation Systems
Author(s) -
Romano Daniele,
Kinnaert Michel
Publication year - 2006
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.759
Subject(s) - robustness (evolution) , fault detection and isolation , isolation (microbiology) , design methods , control engineering , computer science , engineering , reliability engineering , artificial intelligence , mechanical engineering , biochemistry , chemistry , biology , microbiology and biotechnology , actuator , gene
Inspired by the rationale of Robust Design, a novel methodology is presented for the design of diagnostic systems for fault detection and isolation (FDI). Detection/isolation capability and robustness, i.e. sensitivity to faults and insensitivity to noise, are addressed in an integrated way within a fully stochastic framework. Although FDI is a classical problem in control engineering, this new approach improves the current state of the art both in terms of general applicability and optimality of the design solution. It demonstrates the potential of robust design in fostering innovation in a variety of technical sectors. For illustrative purposes, the methodology is applied to the design of a FDI system for a fluid mixer. Copyright © 2006 John Wiley & Sons, Ltd.