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
收藏
页码：143 / 149
页数：7
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