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Survey of robust residual generation and evaluation methods in observer-based fault detection systems
Authors:PM Frank  X Ding
Affiliation:

a Gerhard-Mercator-Universität -GH-Duisburg, Fachgebiet Mess- und Regelungstechnik, Bismarckstrasse 81, 47048, Duisburg, Germany

b FH Lausitz, FB Elektrotechnik, Grossenhainer Strasse 57, 01968, Senftenberg, Germany

Abstract:The paper outlines recent advances of the theory of observer-based fault diagnosis in dynamic systems towards the design of robust techniques of residual generation and residual evaluation. Emphasis will be placed upon the latest contributions using frequency domain techniques including H theory, nonlinear unknown input observer theory, adaptive observer theory, artificial intelligence including fuzzy logic, knowledge-based techniques and the natural intelligence of the human operator. Two representative examples illustrate the efficiency of the observer-based approach.
Keywords:fault detection  robustness  unknown input observer  nonlinear observer  adaptive observer  observer-based fault detection  fuzzy logic
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