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  • 标题:Knowledge representation and intelligent fault diagnosis technology for power grid faults
  • 本地全文:下载
  • 作者:Xiang Li ; Xin Min ; Zeng Yang
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2020
  • 卷号:182
  • 页码:1-6
  • DOI:10.1051/e3sconf/202018202006
  • 出版社:EDP Sciences
  • 摘要:Aiming at that the automatic fault diagnosis method is difficult to locate the fault causes under uncertain circumstances which include malfunctions of the equipment and wrong alarm messages, a knowledge model was proposed to describe the relationship, status and operation of the equipment. And based on the model, the action logic between equipment after accidents is expressed in the form of rules combined with predicate logic. The corresponding interpretation and checking results of the relative alarm messages are given by reasoning the accident chain under different fault hypothesis. And the optimal judgment result is obtained through the calculation of prior probability. The validity of the method is verified by a practical fault case.
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