Volume 45 Issue 1
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TANG Jianwei, SU Hong, YAN Jiaming, ZHANG Jianwen, WANG Jinchuan, WANG Enjun. Partial discharge pattern recognition method for mine-used dry-type transformer[J]. Journal of Mine Automation, 2019, 45(1): 76-80. DOI: 10.13272/j.issn.1671-251x.2018090081
Citation: TANG Jianwei, SU Hong, YAN Jiaming, ZHANG Jianwen, WANG Jinchuan, WANG Enjun. Partial discharge pattern recognition method for mine-used dry-type transformer[J]. Journal of Mine Automation, 2019, 45(1): 76-80. DOI: 10.13272/j.issn.1671-251x.2018090081
shu

Partial discharge pattern recognition method for mine-used dry-type transformer

  • 1.

    School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou 221008, China

  • 2.

    Anhui Electric Power Design Institute Co., Ltd., China Energy Engineering Group, Hefei 230000, China

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  • In order to improve recognition accuracy of partial discharge pattern of mine-used dry-type transformer, a partial discharge pattern recognition method for mine-used dry-type transformer was proposed. Firstly, orthogonal matching pursuit algorithm is used to denoise original partial discharge signal, which can retain useful information of the original partial discharge signal to the greatest extent. Then, autoregressive coefficient features of the partial discharge signal after denoising are extracted by autoregressive model. Finally, the autoregressive coefficient features are input into random forest integrated classifier to recognize partial discharge pattern. The experimental result shows that average recognition accuracy of the method is 98%.
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