Abstract
This paper discusses the use of the narrow-band ultra high frequency (UHF) partial discharge (PD) measuring technique for the recognition and classification of PD in gas insulated substations (GIS). The principle of the identification of PD signals from external disturbances or UHF signals caused by switching operations will be issued. Additionally, the interpretation of the measured signals with the use of orthogonal functions, fuzzy logic and neural networks will be reported. A genetic algorithm will be presented which can be used to determine the optimum topology of the used neural network.
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