Opole, Polonia
The subject matter of the paper refers to the evaluation of the application possibilities of a single-direction neural network in the expert system of the diagnostics of the insulation system condition. The paper presents theoretical and practical possibilities of building an expert system based on the acoustic emission method, assisting the diagnostics of insulation systems of high power transformers. The results presented in this paper show the recognition effectiveness of the PD forms under study (insulation defects), obtained by using a neural classifier as well as the evaluation of its application possibilities as an inferring mechanism of a computer diagnostic system.
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