The paper focuses on the problem of robust fault detection using neuro- fuzzy model based strategies. The main objective of the work is to show how to employ bounding error approach to determine the uncertainty of the neuro- fuzzy model and next utilize this knowledge for robust fault detection. The paper presents also how to tackle the problem of choosing the right structure of the neuro- fuzzy models. Proposed algorithms are applied to fault detection in the valve that is the part of the technical installation at the Lublin sugar factory. Experimental results presented in the nal part of the paper conrms the efdctiveness of the proposed methods.
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