8 / 2017-06-29 20:33:09
Novel Feature Set Based on Bayesian Approach for Circuit Breaker Fault Detection
6328,14749,14748,14747,12924
全文录用
Sen Wang / Zhejiang University
Xiaorun Li / Zhejiang University
Yijian Ma / Zhejiang Special Equipment Inspection and Research Institute
Shuhan Chen / Zhejiang University
Jianjun Wang / Zhejiang University
Smart grid is developing rapidly with the promotion of artificial intelligence (AI) technology, and online condition assessment of circuit breaker (CB), as one of the most important facility in power system, is increasingly requested. Owing to most of CB faults can be reflected on its coil current (CC), lots of papers research on the relationship between CC data and CB fault. This paper proposed a new method to get distinctive CC feature set, which achieves better data distinction and has more practical physical meaning. The classification experiments based on the new feature set show that the proposed method can quickly and accurately recognize fault, meanwhile point out the malfunctioning device.
重要日期
  • 会议日期

    10月04日

    2017

    10月05日

    2017

  • 06月30日 2017

    初稿截稿日期

  • 07月10日 2017

    初稿录用通知日期

  • 07月20日 2017

    终稿截稿日期

  • 10月05日 2017

    注册截止日期

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