Influence of the solid dielectric type on the acoustic emission signals emitted by partial discharges

This paper presents results of the analysis on the variability of the acoustic emission (AE) signals generated by partial discharges (PD) under the prolonged AC voltage. The objective of this paper is to indicate the variability of the AE signals under prolonged PD activity and to propose the alternative features extraction methods that allow to describe this variability in an optimal way. Three scenarios based on different solid dielectric materials are investigated and compared: pressboard paper (PBP), teflone (PTFE) and glass (GLS). Three AE feature extraction methods are proposed and analyzed: amplitude distribution of power (ADP), energy patterns based on discreet wavelet transform (DWT) and peak probability extraction method (PPE). Finally, this paper significantly extends the state of the art in the field of AE measurements of PD, and presented results may potentially enhance the AE signal analysis regarding e.g. PD denoising, classification and localization.

Automated summary

This paper presents an analysis of the variability of acoustic emission (AE) signals generated by prolonged partial discharges (PD) under AC voltage. The objective is to indicate the variability of AE signals and propose alternative feature extraction methods. Three scenarios based on different solid dielectric materials are investigated and compared, and three feature extraction methods are proposed and analyzed. The results extend the current state of the art in AE measurements of PD and have potential application in PD denoising, classification, and localization.