摘要
电力变压器内部结构复杂且故障模式繁多,对其进行故障原因的分析比较困难。故障树分析法是一种公认的逻辑性强、简单有效的故障诊断方法,能够形象直观地展现故障模式,反映诊断对象的故障及引起该故障的各种因素之间的因果逻辑关系。通过选用由故障树最小割集到知识库规则的知识获取方式,解决了故障诊断专家系统知识获取难的问题,同时提出了概率重要度概念的冲突消解策略,提高了诊断的效率,从而提升了电力变压器故障诊断水平。最后,通过编程实现了该方法,并验证了该方法的正确性和优越性。
It＇ s difficult to analyze the fault cause of power transformer for its complicated internal structure and various fault models. Fault tree analysis is recognized as a logical, simple and efficient fault diagnosis method. It can visually show the failure mode, and expresses the causal logic relations between the diagnostic object fault and the factors caused the fault. Through the selection of knowledge acquisition method from the minimal cut set of fault trees to the knowledge base rules, the paper solves the problem of difficultly knowledge acquisition in diagnosis expert system, and uses conflict resolution strategy based on the probability importance degree in the fault tree to improve the efficiency of the diagnosis, so as to enhance the fault diagnosis efficiency for the power transformer. Finally, the paper implements the method through the programming, combined with the practical fault case analysis, and also verifies the correctness and superiority of the method.
出处
《陕西电力》
2012年第12期55-59,74,共6页
Shanxi Electric Power
基金
科技部科学技术创新项目(2010NCSIE-9731)
关键词
电力变压器
故障树分析法
故障诊断专家系统
知识库
power transformer
fault tree analysis
fault diagnosis expert system
knowledge base
