Fault diagnosis of induction motor using decision tree with an optimal feature selection
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx5/4674377/4692340/04692484.pdf?arnumber=4692484
Cited by 5 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. Harnessing attention mechanisms in a comprehensive deep learning approach for induction motor fault diagnosis using raw electrical signals;Engineering Applications of Artificial Intelligence;2024-03
2. Fault Prediction in Induction Motor Using Artificial Neural Network Algorithms;Mechanisms and Machine Science;2024
3. Hybrid 1D CNN-RNN Network for Fault Diagnosis in Induction Motors Using Electrical Signals;2023 International Conference on System Science and Engineering (ICSSE);2023-07-27
4. Fault Detection of Induction Motor Using Thermal Imaging;2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET);2022-05-20
5. Smart classifier based prognostics and health management of induction motor;Materials Today: Proceedings;2021
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