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2 International Journal of Applied Mathematics and Computer Science

2 1999

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Evolutionary Multi-Objective Pareto Optimisation of Diagnostic State Observers

Kowalczuk Z., Suchomski P., Białaszewski T.

International Journal of Applied Mathematics and Computer Science

1999

Vol. 9, no 3

689-709

A multi-objective Pareto-optimisation procedure for the design of residual generators which constitute a primary instrument for model-based fault detection and isolation (FDI) in systems of plant monitoring and control is considered. An evolutionary approach to the underlying multi-objective optimisation problem is utilised. The resulting robust observer detector allows for FDI, taking into account the issue of false alarms.

Application of Sensitivity Theory to Fuzzy Logic Based Fdi

Dalton T., Klotzek P., Frank P. M.

International Journal of Applied Mathematics and Computer Science

1999

Vol. 9, no 3

619-636

This paper describes an application of sensitivity theory to the analysis of a certain class of fuzzy systems which can be used for fault detection and isolation (FDI). The work is divided into three main tasks. The first is the mathematical representation of some class of fuzzy systems. This is followed by an application of sensitivity theory to fuzzy systems based on the approach detailed in the first part. Finally, this method is applied to a fuzzy fault diagnosis scheme for the two-tank system, and the results compared with those achieved by the application of sensitivity theory to a non-fuzzy diagnosis scheme for the same system. Simulation results for the fuzzy and non-fuzzy fault diagnosis schemes are presented, which verify the results obtained via the application of sensitivity theory.