Suzhou Electric Appliance Research Institute
期刊号: CN32-1800/TM| ISSN1007-3175

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一种基于综合推理的变压器故障诊断方法

来源:电工电气发布时间:2019-03-22 12:22 浏览次数:665
一种基于综合推理的变压器故障诊断方法
 
胡善芝,周冬旭,唐仁权
(国网南京供电公司,江苏 南京 210019)
 
    摘 要:针对现有变压器油中溶解气体分析方法的不足,提出一种基于综合优化的故障诊断方法。将本体论与案例推理方法相结合,通过定义变压器故障诊断领域知识与案例知识的使用、聚集关系,建立了基于本体论的变压器故障案例库,并进行案例推理。若无匹配源案例,则转入基于判错损失最小的可拓推理机制,通过建立变压器各类故障的物元集模型,在考虑故障先验概率的基础上,引入错判损失最小函数,提高了可拓推理的准确度。通过对收集的200余例变压器故障实际DGA数据计算,并将诊断结果与IEC三比值法、可拓推理方法相比较,验证了所提方法的有效性。
    关键词:变压器;故障诊断;案例推理;可拓推理;错判损失
   中图分类号:TM401+.1     文献标识码:A       文章编号:1007-3175(2019)03-0023-06
 
 A Kind of Fault Diagnosis Method of Power Transformer Based on Integrated Reasoning
 
 HU Shan-zhi, ZHOU Dong-xu, TANG Ren-quan
(State Grid Nanjing Power Supply Company, Nanijng 210019, China)
 
    Abstract: Aiming at the shortage of existing gas dissolved analysis method in transformer oil, this paper proposed a fault diagnosis method based on comprehensive optimization. Combining the ontology with the case reasoning method, this paper established the case base of transformer faults based on the ontology and carried out case-based reasoning, with the definition of usage and aggregation relationship of knowledge of transformer faults diagnosis domain and cases. The extension reasoning mechanism based on the minimum of erroneous judgement started if there was no matching source case. The matter-element model of transformer faults was established, in consideration of the prior probability of all kinds of faults, which improved the accuracy of the extension reasoning. The effectiveness of this method is proved by 200 faults diagnosis examples of transformers, by comparing the results of the diagnosis with the IEC three-ratio method and the extension
reasoning mechanism.
    Key words: power transformer; fault diagnosis; case-based reasoning; extension reasoning mechanism; erroneous judgement loss
 
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