Improved Mechanical Fault Diagnosis Technology of Transformer Based on Similarity of Vibration Signal Characteristic Matrix

WU Liping; YANG Liu; LI Gang; JIA Zhiyi; WANG Zhong; ZHAO Lihua

doi:10.13296/j.1001-1609.hva.2019.11.031

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Improved Mechanical Fault Diagnosis Technology of Transformer Based on Similarity of Vibration Signal Characteristic Matrix

更新时间：2025-04-26

- Improved Mechanical Fault Diagnosis Technology of Transformer Based on Similarity of Vibration Signal Characteristic Matrix
- High VoltageApparatus Vol. 55, Issue 11, Pages: 211-217(2019)
- 作者机构：
  
  1. 国网山西省电力公司阳泉供电公司
  2. 四川大学
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2019.11.031
  CLC： TM407
- Published：2019
- 稿件说明：
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[1]武立平,杨柳,李刚,贾志义,王仲,赵莉华.基于振动信号特征矩阵相似度的变压器机械故障诊断技术研究[J].高压电器,2019,55(11):211-217.

WU Liping, YANG Liu, LI Gang, et al. Improved Mechanical Fault Diagnosis Technology of Transformer Based on Similarity of Vibration Signal Characteristic Matrix[J]. High voltageapparatus, 2019, 55(11): 211-217.
[1]武立平,杨柳,李刚,贾志义,王仲,赵莉华.基于振动信号特征矩阵相似度的变压器机械故障诊断技术研究[J].高压电器,2019,55(11):211-217. DOI： 10.13296/j.1001-1609.hva.2019.11.031.

WU Liping, YANG Liu, LI Gang, et al. Improved Mechanical Fault Diagnosis Technology of Transformer Based on Similarity of Vibration Signal Characteristic Matrix[J]. High voltageapparatus, 2019, 55(11): 211-217. DOI： 10.13296/j.1001-1609.hva.2019.11.031.

摘要

目前基于振动信号的变压器机械故障诊断多是通过对某个振动信号进行独立分析、提取特征量进行判定

对变压器机械状态的反映过于片面;基于振动信号特征矩阵相似度可实现综合不同测试位置、多组振动信号的变压器机械故障诊断

但该方法可能受负载条件影响而发成误判。文中改进了振动信号特征矩阵的构造方法

通过实验研究了负载率、功率因数、不平衡度对振动性信号特征矩阵相似度的影响

结果表明:文中所做改进可有效地减少故障诊断中由于负载条件改变造成的误判。应用改进后的特征矩阵相似度对模拟故障进行诊断

结果表明

该方法受负载条件影响较小、能准确诊断出故障存在

有良好的应用前景。

Abstract

The existing mechanical fault diagnosis of transformers based on the characteristic matrix similarity of vibration signals can realize the fault diagnosis of multiple testing positions via multiple groups of vibration signals

however the diagnosis may be affected by load conditions to give misjudgment. In this study

the construction method of the characteristic matrix of vibration signals was improved

and the influences of the load rate

the power factor and the degree of three-phase unbalance on the characteristic matrix similarity of vibration signals were investigated through experiment. Results showed that the present improvement could effectively reduce the misjudgment caused by the change of load conditions in fault diagnosis. The improved characteristic matrix similarity was applied to diagnose the simulated faults and the results showed that the improved mechanical fault diagnosis technology of transformers based on the characteristic matrix similarity of vibration signals could accurately diagnose the faults with little influence of load conditions

so it might have good application prospects.

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