Gas turbine fault isolation or identification generally uses a model-based classification of gas path faults. This classification is not too exact because of model errors. The present paper looks at the possibility to create a fault class on the basis of gas turbine real data containing cycles of a compressor fouling and washing. The concerned data-driven fouling class formation is realized in the space of deviations of measured gas path quantities. Analyzing deviation plots for different fouling cycles, we have confirmed identifiability of the fouling. In order to draw sound conclusions, the analysis was conducted for two gas turbines of different application.

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