Wavelet transform and neural network techniques for inter-turn short circuit diagnosis and location in induction motor

Besma Bessam; Arezki Menacer; Mohamed Boumehraz; Hakima Cherif

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Wavelet transform and neural network techniques for inter-turn short circuit diagnosis and location in induction motor

机译：小波变换和神经网络技术在异步电动机匝间短路诊断与定位中的应用

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It is well known that stator winding faults such the inter-turn short circuit are the most frequent source of breakdowns in induction motors. Early detection of any small inter-turn short circuit and location of the faulty phase at different load would eliminate some subsequent damage to adjacent coils and stator core, reducing then the repair cost. To achieve this purpose, the present paper presents a new method of diagnosis and detection of inter turn short circuit fault using discrete wavelet transform (DWT) and neural networks (NN). This method consists in analyzing the stator current by DWT in order to compute the energy associated with the stator fault in the frequency bandwidth. Then, this energy is used as input for a NN classifier. The results obtained are astonishing and the approach is able to detect any small number of shorted turns and the faulty phase even under different load of the machine.

机译：众所周知，定子绕组故障例如匝间短路是感应电动机中最常见的故障源。尽早发现任何小的匝间短路和故障相在不同负载下的位置，将消除后续对相邻线圈和定子铁芯的损坏，从而降低维修成本。为了达到这个目的，本文提出了一种使用离散小波变换（DWT）和神经网络（NN）的匝间短路故障诊断和检测的新方法。该方法包括通过DWT分析定子电流，以便计算与定子故障相关的能量（在频率带宽中）。然后，该能量用作NN分类器的输入。所获得的结果令人惊讶，并且即使在机器的不同负载下，该方法也能够检测到任何少量的短路匝和故障相。

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来源
《International journal of systems assurance engineering and management》 |2017年第1期|S478-S488|共11页
作者
Besma Bessam; Arezki Menacer; Mohamed Boumehraz; Hakima Cherif;
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作者单位

LMSE Laboratory, University of Biskra, Biskra, Algeria;

LGEB Laboratory, University of Biskra, Biskra, Algeria;

LGEB Laboratory, University of Biskra, Biskra, Algeria;

LGEB Laboratory, University of El-Oued, El Oued, Algeria;

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正文语种 eng
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关键词
Diagnosis; Induction motors (IM); Stator fault; Inter-turn-short circuit; Discrete wavelet transform (DWT); Neural network (NN);

机译：诊断;感应电动机（IM）;定子故障;匝间短路;离散小波变换（DWT）;神经网络（NN）;

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专利

1. Experimental investigation on induction motors inter-turns short-circuit and broken rotor bars faults diagnosis through the discrete wavelet transform [J] . Fateh Benchabane, Abderezak Guettaf, Khaled Yahia, Elektrotechnik und Informationstechnik . 2018,第2期

机译：基于离散小波变换的感应电动机匝间短路和转子棒断裂故障的实验研究
2. Wound-Rotor Induction Generator Inter-Turn Short-Circuits Diagnosis Using a New Digital Neural Network [J] . Toma S., Capocchi L., Capolino G.-A. Industrial Electronics, IEEE Transactions on . 2013,第9期

机译：使用新型数字神经网络的绕线感应发电机匝间短路诊断
3. Vibration-Signature-Based Inter-Turn Short Circuit Identification in a Three-Phase Induction Motor Using Multiple Hidden Layer Back Propagation Neural Networks [J] . Sawitri D. R., Heryanto M. A., Suprijono H., International review of electrical engineering . 2018,第2期

机译：基于多重隐藏层反向传播神经网络的三相感应电动机基于振动信号的匝间短路识别
4. A novel method for induction motors stator inter-turn short circuit fault diagnosis based on wavelet energy and neural network [C] . Bessam B., Menacer A., Boumehraz M., IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives . 2015

机译：基于小波能量和神经网络的进一步电动机定子匝间短路故障诊断的新型方法
5. Variable speed AC induction motor fault detection and diagnosis using artificial neural networks. [D] . Li, Lingxin. 2005

机译：使用人工神经网络的变速交流感应电动机故障检测和诊断。
6. A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks Discrete Wavelet Transform and Long Short-Term Memory Networks [O] . Hüseyin Kutlu, Engin Avcı 2019

机译：使用卷积神经网络离散小波变换和长短期记忆网络对肝和脑肿瘤进行分类的新方法
7. Temporary short circuit detection in induction motor winding using combination of wavelet transform and neural network [O] . Dimas Anton Asfani, Muhammad A.K, Syafaruddin, 2012

机译：小波变换与神经网络相结合的感应电动机绕组临时短路检测

Wavelet transform and neural network techniques for inter-turn short circuit diagnosis and location in induction motor

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