The paper presents an attempt to apply spectral analysis tools in processing acoustic emission (AF) pulses generated by partial discharge (PD). The experimental part of the paper describes spark gaps generating four types of PD as well as specifies parameters of measured acoustic signals and recalls the system used for measurement and analysis of the frequency spectra. Also, a spectral analysis procedure is presented, and frequency-domain descriptors characterizing AF pulses are defined. The results of the analysis are given both as time plots and amplitude and energy density spectra, related to values of the associated descriptors. The spectral analysis results cover AF pulses generated in systems modeling the following types of PD: point-plane type discharges in oil, surface discharges in oil, gas bubble discharges in oil and discharges in indeterminate-potential particles moving in oil. In conclusion, an ability to identify a specific type of PD on a basis of frequency spectra of AE pulses and their descriptors is presented. The comparative analysis enables to select those descriptors, which can constitute unique criteria for identification of a specific PD type.
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