A Novel Broken Rotor Bar Fault Detection Method Using Park's Transform and Wavelet Decomposition

被引：0

作者：

Salehi Arashloo, Ramin ^{[1
]}

Romeral Martinez, Jose Luis ^{[1
]}

Salehifar, Mehdi ^{[1
]}

机构：

[1] Univ Politecn Cataluna, BarcelonaTech, Ctr Motor Control & Ind Applicat MCIA, Dept Ind Engn, E-08028 Barcelona, Spain

来源：

2013 9TH IEEE INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED) | 2013年

关键词：

Induction Motor; Fault Detection; Broken Rotor Bars; Discrete Wavelet Transform; Park's Transform; INDUCTION-MOTORS; DIAGNOSIS;

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：

Detection of broken rotor bars has been an important but difficult work in fault diagnosis area of induction motors. The characteristic frequency components of faulted rotor are very close to the power frequency component but by far less in amplitude, which brings about great difficulty for accurate detection. In the present study, a new method is proposed in order to remove the main frequency component, resulting in more efficient detection of the rotor fault characteristics in the frequency spectrum of stator currents. The method is based on Park's transformation in combination with discrete wavelet decomposition to eliminate the effect of main frequency and zoom on the energy of objective fault related frequency components. In addition, the method efficiency is evaluated using Simulations in Matlab.

引用

页码：412 / 419

页数：8

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