Fault detection in induction machines by using power spectral density on the wavelet decompositions

被引：0

作者：

Cusido, J. ^{[1
]}

Rosero, J. A. ^{[1
]}

Romeral, L. ^{[1
]}

Ortega, J. A. ^{[1
]}

Garcia, A. ^{[1
]}

机构：

[1] Univ Politecn Cataluna, MCIA Res Grp, C Colom 1, Catalunya 08222, Spain

来源：

2006 IEEE POWER ELECTRONICS SPECIALISTS CONFERENCE, VOLS 1-7 | 2006年

关键词：

fault detection; induction motor; electrical drives; wavelet analysis;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Motor Current Signature Analysis has been successfully used in induction machines for fault diagnosis. The method however does not always achieve good results when the load torque is not constant. This paper proposes a new approach to motor fault detection, by analyzing the spectrogram and further combination of Wavelet and Power Spectral Density techniques. Theoretical development and experimental results are presented to support the research.

引用

页码：1886 / +

页数：2

共 9 条

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