文献知网节
摘要:In order to find the reason of the high voltage circuit breaker rejection quickly,an fault diagnosis method based on reasoning chain and Bayesian network(BN) is presented in the paper.Firstly,the concept of event set is introduced.A fault symptom set is constructed based on the measured circuit breaker characteristic parameters and warning signals.And the direct cause of circuit breaker failure,such as a part of the circuit breaker components or mechanism failure constitute the fault cause set.After that,when the high voltage circuit breaker fails,a subset of fault symptoms and fault causes is obtained according to the information.Then an reasoning chain is constructed according to the causal relationship between the two.Finally,a corresponding Bayesian network model for reasoning chain is built.The probability of fault causes is obtained by Bayesian backward reasoning,so as to realize the rapid analysis of circuit breaker faults.And the effectiveness of the method is verified by the result of practical fault diagnosis examples.
会议名称:

2019 4th Asia Conference on Power and Electrical Engineering (ACPEE 2019)

会议时间:

2019-03-28

会议地点:

中国浙江杭州

  • 专辑:

    工程科技Ⅱ辑

  • 专题:

    电力工业

  • 分类号:

    TM561

  • 手机阅读
    即刻使用手机阅读
    第一步

    扫描二维码下载

    "移动知网-全球学术快报"客户端

    第二步

    打开“全球学术快报”

    点击首页左上角的扫描图标

    第三步

    扫描二维码

    手机同步阅读本篇文献

  • CAJ下载
  • PDF下载

下载手机APP用APP扫此码同步阅读该篇文章

温馨提示:阅读CAJ格式原文,请使用CAJ浏览器

下载:5 页码:854-860 页数:7 大小:577k

引文网络
  • 参考文献
  • 引证文献
  • 共引文献
  • 同被引文献
  • 二级参考文献
  • 二级引证文献
相关推荐
  • 相似文献
  • 读者推荐
  • 相关基金文献
  • 相关法规
  • 关联作者
  • 相关视频