A Novel Method for Induction Motors Stator Inter-Turn Short Circuit Fault Diagnosis based on Wavelet Energy and Neural Network

被引：0

作者：

Bessam, B. ^{[1
]}

Menacer, A. ^{[1
]}

Boumehraz, M. ^{[1
]}

Cherif, H. ^{[2
]}

机构：

[1] Univ Biskra, Dept Elect Engn, BP 145, Biskra 07000, Algeria

[2] Univ El Oued, Dept Elect Engn, Fac Sci & Technol, El Oued, Algeria

来源：

2015 IEEE 10TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED) | 2015年

关键词：

Induction machine; inter-turn-short circuit; diagnosis; discrete wavelet transform (DWT); neural network (NN); ROTOR FAULTS; BAR;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a wavelet neural network technique for the inter turn short-circuit fault detection and location of the induction machine at non stationary state. This technique is used in order to remedy the problem from using the classical signal-processing (FFT). This method is based from using the discrete wavelet energy (DWE) as the input for the neural network (NN). The fault detection and location are achieved by a feed-forward multilayer-perceptron neural network trained by back propagation. Simulation results are presented to illustrate the effectiveness of the proposed method.

引用

页码：143 / 149

页数：7

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