Partial discharge signal processing method and apparatus employing neural network

Abstract

A partial discharge signals processing method includes: setting a first discrimination criterion among the following criteria: discharge signals acquisition, discharge signals noise filtering, and discharge signals classification; providing a plurality of pulse waveforms associated with detected partial discharge waveform signals; defining at least a first reference pulse waveform in accordance with the first criterion; performing a first training of a neural network module based on the at least a first reference pulse waveform to produce a similarity index adapted to selectively assume a first value and a second value representative of a similarity/non similarity of an input pulse waveform with the at least a first reference pulse waveform, respectively; comparing the plurality of pulse waveforms with the at least a first reference pulse waveform by means of the neural network module to obtain first similarity index values; and memorizing/rejecting each compared pulse waveform on the basis of the obtained first similarity index values and on the second discrimination criterion.