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In this contribution different modelling stragies for fault detection and isolation (FDI) in view of the model complexity are studied at the benchmark problem Three Tank System. The particularities of models needed for model-based FDI in contrast to models used in control are pointed out. Of special interest is the question of complexity. This depends basically on the given situation such as the kind...
This paper studies the problem of Η∞ detection filter design for state delayed linear continuous-time systems with parameter uncertainty, in which the effects of faults and disturbances cannot be de-coupled from each other. The detection filter gains are designed so that, if the fault of the system is absent, the filter is convergent for the admissible uncertainty conditions. The transfer function...
This article is a contribution to the benchmark problem in the framework of the COSY (Control of Complex Systems) project and deals with fault detection on a simulated ship propulsion system. Our approach is to make use of a fuzzy output observer for the generation of the fault-reflecting residual signals. For this purpose, we first have to design suitable fuzzy models of the system under consideration...
In this paper the problem of fault isolation in non linear systems is considered. Faults are formulated as parameter changes and a novel definition of fault detent ability is introduced. This connects a fault with its effect on the output of the system under consideration. Based on this definition, a practical way to test the fault detectability is introduced. In this context, a general result about...
This paper describes the application of fuzzy logic to the analysis of residuals generated using an observer scheme for the three tank benchmark. Two methods of residual analysis are investigated; fuzzy inference (i.e. rule based) and fuzzy clustering. The aim of both of the schemes is to simplify the task of the operator in determining the state of the plant (and any necessary action) by improving...
Fault detection filters are a special class of observers that can generate directional residuals for the purpose of fault isolation. This paper proposes a new approach to design H∞ fault detection filters with variance constraints in which the eigenvalues can be arbitrarily assigned, so that the residual vector, generated by this filter, has directional properties. This is done by combining the Η∞...
In this paper, problems related to the design of fault detection filters (FDF) for dynamic systems with unknown inputs are studied. Core of our study is to consider the design problems under two different residual evaluation functions, the i?2-norm and the peak amplitude of the residual signals. The background of this study is the fault detection strategy of using multi-residual evaluation functions,...
In this paper the approach of producing most possible qualitative behaviors is proposed. It contains fuzzy qualitative modeling, generating qualitative behaviors by simulation and searching the behavioral tree, to finally obtain one or several most preferential behaviors as the description of the system. The emphasis is put on the efficient search method with branch-bound- backtracking, evaluating...
Problems related to fault isolation in dynamic systems are investigated. The first part of our study concerns the discussion on the existence conditions for a perfect fault isolation and the relationships between the fault isolation and disturbance decoupling problems. The second part is devoted to the presentation of a number of approaches to a (perfect) fault isolation. Finally, a study on the fault...
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...
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