Fault diagnosis of short-circuit in stator-windings of an asynchronous motor based on harmonic wavelet

被引：0
|
作者：
Wang Li [1 ]
Ma Chao [1 ]
LI Daxi [1 ]
机构：
[1] APEU, Missile Inst, Shanxi 713800, Sanyuan, Peoples R China
来源：
ISTM/2007: 7TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-7, CONFERENCE PROCEEDINGS | 2007年
关键词：
harmonic wavelet; wavelet analysis; fault diagnosis; induction motor;
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：
When a short-circuit fault of stator-windings takes place-in an asynchronous motor the high components of the harmonic wave will be encountered in the static current. Because of the relatively small amplitude, the message cant be detected by common filters. In this paper, we use harmonic wavelet transform to extract the high harmonic component in the current to detect the fault. The results show that not only can the method be used to defect the fault in time but can also be used to prognosticate the severity of the fault by the peak value of the characteristic signal.
引用
收藏
页码：1705 / 1708
页数：4
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