720 / 2022-03-31 18:10:48
Fault Pattern Recognition Based on Internal Pressure Distribution of Oil-immersed Transformer
power transformers, fault diagnosis, gas ratios dissolved in oil, membership Function, IEC TC 10 database
终稿
Yuhui Feng / Ltd.;Major equipment management office; China Nuclear Power Operations Co.
Erya Gao / Ltd.;Major equipment management office; China Nuclear Power Operations Co.
Chao Gao / Ltd.;Major equipment management office; China Nuclear Power Operations Co.
Zhongqing Yang / Department of equipment management; Suzhou Nuclear Power Research Institute
Bing Song / Ltd.;Major equipment management office; China Nuclear Power Operations Co.
Qian Li / Ltd.;Major equipment management office; China Nuclear Power Operations Co.
The safe and stable operation of power transformer is the key link to ensure the reliable power supply of power system. Once an explosion accident occurs, it will bring huge economic and social losses to power grid companies. In order to improve the anti-explosion performance of oil-immersed power transformers, it is necessary to study the analysis method of internal fault pressure characteristics of transformers, and on this basis to study the non-electricity protection method of transformers and design the anti-explosion structure of transformer tank. Therefore, based on the simulation model of internal fault pressure characteristics of transformer, the mapping relationship between fault feature and internal pressure of oil tank is constructed by BP neural network, and the fault pattern recognition algorithm of transformer based on pressure is established by random forest model
重要日期
  • 会议日期

    09月25日

    2022

    09月29日

    2022

  • 08月15日 2022

    提前注册日期

  • 09月10日 2022

    报告提交截止日期

  • 11月10日 2022

    注册截止日期

  • 11月30日 2022

    初稿截稿日期

  • 11月30日 2022

    终稿截稿日期

主办单位
IEEE DEIS
承办单位
Chongqing University
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