摘要
目前对于变压器的故障诊断,还没有利用多种变压器状态信息进行综合判断。从证据理论的基本概念和证据的融合推理方法出发,建立了变压器多故障特征信息融合诊断框架。该方法把从多传感器得到的变压器状态数据看作一个信息系统,运行过程中不断产生各种信息,并将信息加工成故障特征,通过特定的诊断决策规则,得出诊断结论。最后给出了一个变压器故障诊断的实例,结果表明该方法能够有效地提高变压器故障诊断可信度,减小诊断的不确定性。
Currently, the fault diagnosis of transformer did not adopt overall judgment of various state information. Starting with the basic conception and evidential fusion reasoning method of Dempster-Shafer evidential theory, multi-fauh characteristic information fusion diagnosis frame of transformer is constructed. A new approach to fault diagnosis based on multi-information fusion of fault characteristic, Dempstcr-Shafer evidential theory and basic probability assignment contribution method is proposed. An example is present, it is shown that the method is good to improve the reliability of the diagnosis and decrease the uncertainty markedly.
出处
《机电工程技术》
2013年第8期122-125,共4页
Mechanical & Electrical Engineering Technology
关键词
信息融合
证据理论
故障诊断
基本可信度分配
information fusion
evidential theory
fault diagnosis
basic possibility assignment
