A novel indicator of stator winding inter-turn fault in induction motor using infrared thermal imaging

Author:

Eftekhari M.,Moallem M.,Sadri S.,Hsieh Min-FuORCID

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Cited by 39 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A deep learning approach for electric motor fault diagnosis based on modified InceptionV3;Scientific Reports;2024-05-29

2. Depthwise Separable Convolutional Neural Network for Fault Diagnosis in Motor of CRF Pump-Unit Using Infrared Thermal Imaging;2023 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD);2023-11-02

3. Techniques of infrared thermography for condition monitoring of electrical power equipment;Journal of Electrical Systems and Information Technology;2023-10-20

4. Thermography-Based Fault Identification in Induction Motor Across Dynamic Speed Conditions;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16

5. Statistical Machine Learning Strategy and Data Fusion for Detecting Incipient ITSC Faults in IM;Machines;2023-07-07

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