The electrical fault diagnosis of early induction motor based on wavelet transform

被引：0

作者：

Zhang Haiyan ^{[1
]}

Zhang Tao ^{[2
]}

Cheng Minsha ^{[1
]}

机构：

[1] Chongqing Univ Sci & Technol, Dept Elect Informat Engn, Chongqing 401331, Peoples R China

[2] Power Dispatching Bur, North China Grid Co, Beijing 100053, Peoples R China

来源：

2013 2ND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION AND MEASUREMENT, SENSOR NETWORK AND AUTOMATION (IMSNA) | 2013年

关键词：

Induction motor; Wavelet transform; Air-gap eccentricity; Broken rotor bars;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

At present, non-stationary signals can be often found in the fault signal of the motor, when conducting the diagnosis and analysis of common fault for various types of asynchronous electrical equipment that is widely used in various fields. It will produce a higher rate of misjudgment if we use the Fourier analysis which is a traditional method. Therefore, we will introduce the wavelet transform to the early failure detection of induction motor for its excellent time-frequency localization properties, and we validate the good effect of this method through simulation analysis.

引用

页码：608 / 610

页数：3

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