Transformer Winding Deformation Analysis Based on Short-circuit Reactance and Vibration Signal Analysis

被引：0

作者：

Xu J. ^{[1
]}

Chen Y. ^{[1
]}

Li H. ^{[2
]}

E S. ^{[2
]}

Chen J. ^{[2
]}

Cai S. ^{[2
]}

机构：

[1] School of Electrical Engineering, Shenyang University of Technology, Shenyang

[2] China Electric Power Research Institute, Wuhan

[3] State Grid Hubei Electric Power Company, Wuhan

来源：

Xu, Jianyuan (intxjy@163.com) | 2001年 / Science Press卷 / 43期

关键词：

Eigenvector; Multi-information diagnosis model; Short circuit reactance; Transformer; Vibration signal; Winding deformation;

D O I：

10.13336/j.1003-6520.hve.20170527035

中图分类号：

学科分类号：

摘要：

A multi-information diagnosis model was established for estimating the extent of the winding deformation after the analysis of electric property and mechanical property of the transformer winding. The elements of the model were extracted from electrical information and mechanical information of the transformer, which are definitely as follows: the one is the rate of short circuit reactance change, the other is 'Frequency band-Energy-Euclidean distance' after wavelet packet decomposition of the vibration signal, the last one is the relevant quantity of the main frequency band of vibration signal standard deviation, so as to take them as eigenvector and then get the included angle of the eigenvectors as the diagnostic tool of the winding deformation. For the testing transformer B-phase winding in this experiment, the feature vector angles are 0°, 6.4217°, 17.8205°, 28.0588°, respectively, corresponding to the normal state, the two states after short circuit current shock, and the analog fault state. The data analysis results indicate that this method has a good diagnosis effect and has resolution for the small deformation which cannot be recognized by only using the rate of short circuit reactance change. © 2017, High Voltage Engineering Editorial Department of CEPRI. All right reserved.

引用

页码：2001 / 2006

页数：5

共 20 条

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