基于空载合闸振动信号的变压器绕组松动诊断

doi:10.11930/j.issn.1004-9649.2016.05.039.05

摘要/Abstract

摘要： 针对变压器空载合闸机械振动特性，采用小波包变换对其振动信号进行分析。在实验中，模拟了变压器正常和绕组松动2种状态，对其空载合闸时的振动信号进行采集，并采用小波包-能量谱分析得到各个尺度上能量的百分比作为特征量对2种状态下的振动信号进行特征提取和对比分析。实验结果表明，故障前后的振动信号的能量分布特征有明显的差异，该方法可以有效地提取不同状态下合闸振动信号特征量，应用于空载合闸振动信号的变压器绕组松动诊断。

关键词: 变压器, 空载合闸, 绕组松动, 小波包-能量谱, 振动信号

Abstract: The wavelet packet method is used to analyze the vibration signals as a measure of mechanical vibration properties when a transformer is switched-on under no-load state. In the experiment, two transformer statuses-the normal and the winding looseness statuses-are simulated, and the vibration signals under the no-load condition are collected for each status. The energy percentage distribution is determined based on the wavelet package-energy spectrum analysis and used as the characteristic parameter for the comparison and analysis of two conditional vibration signals. The experiment results show that there is a significant difference in vibration signals’ energy distribution characteristics between the normal and the fault conditions. The method presented in this paper can effectively extract switching-on vibration signal characteristics under different states. As such, the wavelet package-energy spectrum analysis can be effectively applied in diagnosing transformer winding looseness based on the vibration signals of switching-on under no loads.

Key words: transformer, no-load switching on, winding looseness, wavelet package-energy spectrum

中图分类号:

TM41

王涛云，马宏忠，姜宁，李凯，许洪华，万达，崔杨柳. 基于空载合闸振动信号的变压器绕组松动诊断[J]. 中国电力, 2016, 49(5): 39-43.

WANG Taoyun, MA Hongzhong, JIANG Ning, LI Kai, XU Honghua, WAN Da, CUI Yangliu. Diagnosing of Winding Looseness of a Transformer Based on no-Load Switching-on Vibration Signals[J]. Electric Power, 2016, 49(5): 39-43.

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https://www.electricpower.com.cn/CN/Y2016/V49/I5/39

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