Induction motor rotor fault detection using Artificial Neural Network

机译：基于人工神经网络的感应电动机转子故障检测

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The present paper deals with the detection of broken rotor bar of an induction motor. The problem is approached through mathematical modeling of induction motor. Both the models, for healthy as well as faulty motor, are developed using MATLAB simulink. The model is used to simulate different conditions of fault with varying number of broken bars. Parameters like three-phase voltage, three-phase current and THD of all voltages and currents are acquired from the simulated model. The data thus generated is used to train Artificial Neural Network which diagnoses the condition of motor. The results obtained prove the effectiveness of proposed method.

机译：本文涉及感应电动机转子条损坏的检测。该问题是通过感应电动机的数学建模来解决的。使用MATLAB simulink开发了适用于健康电机和故障电机的两种模型。该模型用于模拟断条数量不同的不同故障条件。从仿真模型中获取所有电压和电流的参数，例如三相电压，三相电流和THD。这样生成的数据用于训练诊断电机状况的人工神经网络。所得结果证明了该方法的有效性。

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来源
《2015 International Conference on Energy Systems and Applications》|2015年|45-50|共6页
会议地点 Pune(IN)
作者
Rakeshkumar A. Patel; B. R. Bhalja;
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作者单位

Department of Electrical Engineering, UVPCE, Ganpat University, Kherva, India;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Analytical model; Artificial Intelligence; Artificial Neural Network; Condition Monitoring; Induction motor;

机译：分析模型;人工智能;人工神经网络;状态监测;感应电动机;

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专利

1. Detection of Rotor Eccentricity Faults in a Closed-Loop Drive-Connected Induction Motor Using an Artificial Neural Network [J] . Huang X., Habetler T. G., Harley R. G. IEEE Transactions on Power Electronics . 2007,第4期

机译：利用人工神经网络检测闭环驱动感应电动机中的转子偏心故障
2. A new transform discrete wavelet technique based on artificial neural network for induction motor broken rotor bar faults diagnosis [J] . Defdaf Mabrouk, Berrabah Fouad, Chebabhi Ali, European transactions on electrical power engineering . 2021,第4期

机译：一种基于人工神经网络的新型变换离散小波技术，用于感应电动机破损转子栏断层诊断
3. Discriminating the lubrication condition from the rotor bearing fault in induction motors using Margenau-Hill frequency distribution and artificial neural networks [J] . Lopez-Ramirez Misael, Romero-Troncoso Rene J., Moriningo-Sotelo Daniel, Industrial Lubrication and Tribology . 2017,第6期

机译：使用Margenau-Hill频率分布和人工神经网络在感应电动机中的转子轴承故障中辨别润滑条件
4. Detection of rotor eccentricity faults in closed-loop drive-connected induction motors using an artificial neural network [C] . Xianghui Huang, Gabetler, T.G., . 2004

机译：使用人工神经网络检测闭环驱动感应电动机中的转子偏心故障
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. Artificial Neural Network Application for Current Sensors Fault Detection in the Vector Controlled Induction Motor Drive [O] . Mateusz Dybkowski, Kamil Klimkowski 2019

机译：人工神经网络在矢量控制感应电动机驱动器电流传感器故障检测中的应用
7. Application of Neural Networks and Axial Flux for the Detection of Stator and Rotor Faults of an Induction Motor [O] . Paweł Ewert 2019

机译：神经网络和轴向通量在感应电动机检测定子和转子故障中的应用

Induction motor rotor fault detection using Artificial Neural Network

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