基于云理论的电力变压器故障诊断研究
于丹 1王昭雷 2林博伟 3赵泽渊4
作者信息
- 1. 国网河北省电力有限公司石家庄供电分公司,河北石家庄 050000
- 2. 国网河北省电力有限公司超高压分公司,河北石家庄 050070
- 3. 国网山东省电力公司聊城供电公司,山东聊城 252000
- 4. 国网冀北电力有限公司张家口供电公司,河北张家口 075000
- 折叠
摘要
针对传统的三比值法中存在的问题,根据云模型具有的随机性与模糊性特点,提出了应用云理论对三比值法进行改进的方法.该方法首先建立油中溶解气体三个比值的云模型,再通过筛选数据对模型不断地进行修正,最终结合挖掘关联规则来判定变压器故障类型,而不再局限于用固定编码定义故障类型.实例结果表明:该方法不仅有效克服了IEC三比值法边界位置误判、编码缺失、不能诊断多故障等缺点,而且还弥补了模糊三比值法忽视随机性的不足,同时使三比值法具有了自适应监督学习能力,为变压器故障诊断的准确性提供了有效的依据.
Abstract
In order to solve the problems of tradition three-ratio method,this article proposes a transformer fault diagnosis model based on cloud model and three-ratio method.Firstly,the cloud model of three ratios of dissolved gas in oil is estab-lished.Then,the cloud model is constantly modified by filtering data.Eventually,it combines mining association rules to deter-mine the transformer fault type.The results show that this method not only overcomes the shortcomings of IEC three-ratio method,such as misdiagnosis of boundary position,missing coding,inability to diagnose multiple faults,etc,but also makes up for the shortcoming of the fuzzy three-ratio method in ignoring randomness,and makes the three ratio method have the ability of self-adaptive monitoring and learning,which provides a more effective basis for transformer fault diagnosis.
关键词
电力变压器/故障诊断/云理论/三比值法Key words
power transformer/fault diagnosis/cloud model/three-ratio method引用本文复制引用
出版年
2024
NETL
NSTL
万方数据