Multi-source Partial Discharge Pulse Classification Technology Based on t-SNE and CFSFDP Algorithms

doi:10.11930/j.issn.1004-9649.202109115

Abstract

Abstract: When multi-source partial discharge pulses are classified, the pulses cannot be effectively separated due to the distribution overlapping of their equivalent time-frequency features. In order to solve this problem a partial discharge pulse classification technology is proposed based on t-SNE and CFSFDP Algorithms. Firstly, a phase synchronization device is used to collect the discharge pulse signals and their corresponding phase information, and based on the time-frequency spectra of a single discharge pulse, the t-SNE algorithm is used to reduce the dimensionality of the spectrum data. And then the CFSFDP algorithm is used to cluster the dimensionality reduction results. Finally, based on the phase information collected with the phase synchronization device, the PRPD spectra of different discharge pulses are reconstructed for further analysis. The experimental results show that the t-SNE and CFSFDP based method can effectively classify different discharge pulses, and the PRPD spectrum reconstructed with the phase synchronization device meets the characteristics of discharge.

Key words: multi-source partial discharge, pulse classification, t-SNE, CFSFDP, phase synchronization device

SHI Qiang, LIU Kun, LI Jinsong, LI Fuchao. Multi-source Partial Discharge Pulse Classification Technology Based on t-SNE and CFSFDP Algorithms[J]. Electric Power, 2022, 55(5): 102-110.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202109115

https://www.electricpower.com.cn/EN/Y2022/V55/I5/102

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