变压器铁心松动故障多信号分析方法的比较

Fuxiang Yuan, Y. Shang, Dingge Yang, Jian Gao, Yanhua Han, Jingfeng Wu
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引用次数: 0

摘要

铁芯松动故障是变压器故障的重要组成部分。通过对振动信号的分析,可以得到铁芯的状态。振动分析方法已在变压器状态监测和故障诊断中应用多年,不同的方法产生不同的结果。为了在工程应用中选择正确的方法,本文对短时傅立叶变换、维格纳-维尔分布、S变换、小波变换和经验模态分解等5种时频联合分析方法进行了比较,并分析了这些方法在处理变压器铁心振动信号时的优缺点。结果表明,小波变换和经验模态分解在铁芯松动故障诊断中更有优势。所得结论对工程中变压器故障诊断具有参考意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison on Multiple Signal Analysis Method in Transformer Core Looseness Fault
The core looseness fault is an important part of transformer fault. The state of the core can be obtained by analyzing the vibration signal. Vibration analysis method has been used in transformer condition monitoring and fault diagnosis for many years, while different methods produce different results. In order to select the correct method in engineering application, five kinds of joint time-frequency analysis methods, such as short-time Fourier transform, Wigner-Ville distribution, S transform, wavelet transform and empirical mode decomposition are compared, and the advantages and disadvantages of these methods for dealing with the vibration signal of transformer core are analyzed in this paper. It indicates that wavelet transform and empirical mode decomposition have more advantages in the diagnosis of core looseness fault. The conclusions have referential significance for the diagnosis of transformer faults in engineering.
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