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Volume 56 Issue 5
Oct.  2021
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Article Contents
Journal of Southwest Jiaotong University  > 2021  >  56(5): 1011-1019, 1028.
GUO Lei, CAO Weidong, BAI Longlei, XING Limeng, XIANG Enxin, ZHOU Lijun. Partial Discharge Process and Feature Extraction of Air Gap in EPR Cable Terminal[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 1011-1019, 1028. doi: 10.3969/j.issn.0258-2724.20200157
Citation: GUO Lei, CAO Weidong, BAI Longlei, XING Limeng, XIANG Enxin, ZHOU Lijun. Partial Discharge Process and Feature Extraction of Air Gap in EPR Cable Terminal[J]. Journal of Southwest Jiaotong University, 2021, 56(5): 1011-1019, 1028. doi: 10.3969/j.issn.0258-2724.20200157
shu

Partial Discharge Process and Feature Extraction of Air Gap in EPR Cable Terminal

doi: 10.3969/j.issn.0258-2724.20200157
  • Received Date: 04 Apr 2020
  • Rev Recd Date: 13 Aug 2020
    • Available Online: 09 Oct 2020
  • Publish Date: 15 Oct 2021
    Abstract
  • Due to the nonstandard manufacturing and installation of the ethylene propylene rubber (EPR) cable terminal for high-speed railways, air gap appears in the terminal, and the partial discharge at the air gap seriously affects the normal operation of high-speed trains. In order to analyze the partial discharge process and characteristics of the 25 kV EPR cable with air-gap defects, a cable sample with air-gap defects was fabricated. The discharge parameters and the development process of phase resolved partial discharge (PRPD) spectrum were measured from the initial discharge to sample breakdown. Based on the Gaussian pyramid and gray-level co-occurrence matrix, the PRPD spectrum of the whole discharge process is extracted. The results show that according to the change of discharge parameters, the whole discharge process can be divided into discharge development stage, discharge duration stage, and near-breakdown stage. Based on the different morphology of PRPD spectrum in each stage, the second-order angular moment, entropy, contrast and the like are extracted by the multi-scale gray-level co-occurrence matrix method and can be used to characterize the discharge stage.

     

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