Wavelet and PSD as a fault detection techniques

被引：7

作者：

Cusido, J. ^{[2
]}

Jornet, A. ^{[2
]}

Romeral, L. ^{[1
]}

Ortega, J. A.

Garcia, A. ^{[2
]}

机构：

[1] Univ Politecn Cataluna, Dept Elect Engn, C Colom 1, Terrassa, Catalunya, Spain

[2] Univ Politecn Cataluna, Dept Elect Engn, E-08028 Barcelona, Spain

来源：

2006 IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS, VOLS 1-5 | 2006年

关键词：

fault detection; induction motor; electrical drives;

D O I：

10.1109/IMTC.2006.328594

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Motor Current Signature Analysis has been successfully used for fault diagnosis in induction machines. However this method does not always achieve good results with not constant load torque. This paper proposes a different signal processing method, by combination of Wavelet and Power Spectral Density techniques. It presents good theoretical and experimental results.

引用

页码：1397 / +

页数：2

共 9 条

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[8]

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[9]

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