基于点对称图像的变压器局部放电信号故障诊断  被引量:13

Fault diagnosis of partial discharge signal in transformer based on SDP image

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作  者:王瑜[1] 刘铟 王玉鑫 WANG Yu;LIU Yin;WANG Yuxin(College of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China)

机构地区:[1]华北电力大学电气与电子工程学院,河北保定071003

出  处:《中国测试》2020年第11期120-125,共6页China Measurement & Test

基  金:河北省自然科学基金资助(E2019502080);中央高校基本科研业务费专项资金资助(2017MS114)。

摘  要:局部放电是变压器工作过程中常见的故障,该文提出一种基于点对称图像的局部放电信号处理及故障诊断研究方法。对局部放电故障的点进行观测及采集数据,进而分解及处理得到所需状态信号,并通过点对称图形的方法将数据的形式转换成图像,提取出信号所含的显著特征,对比正常和故障信号的图像,实现局部放电故障是否发生的判断。相对于其他特征提取方法,该方法可以更加准确直观地展示出不同状态之间的差异。文章进行实验验证,并对比多组数据,最终实现变压器故障与否的判别,证明该文方法的有效性和先进性。Partial discharge is a common fault in the working process of transformers.The article proposes a method of partial discharge signal processing fault diagnosis based on symmetrized dot pattern images.This method observes and collects data on partial discharge fault points,then decomposes and process to obtain the required state signal.It converts the data form into an image through the method of symmetrized dot pattern method and extracts the salient features contained in the signal,finally compares normal and fault image of the signal realizes the judgment of whether a partial discharge fault occurs.Compared with other feature extraction methods,this method can more accurately and intuitively show the differences between different states.The article carried out experimental verification,compared multiple sets of data and realized whether the transformer is faulty or not,which proved the effectiveness and advanced nature of the method in this paper.

关 键 词:局部放电 信号处理 点对称图像 故障诊断 变压器 

分 类 号:TM41[电气工程—电器]

 

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