An Intelligent Fault Diagnosis of Induction Motors in an Arbitrary Noisy Environment

Author:

Irfan Muhammad,Saad Nordin,Ibrahim Rosdiazli,Asirvadam Vijanth S.,Magzoub Muawia

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials

Cited by 14 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. Attention mechanism based multi-scale feature extraction of bearing fault diagnosis;Journal of Systems Engineering and Electronics;2023-10

2. Bearing Health Condition Monitoring- A Brief Exposition;2022 4th International Conference on Circuits, Control, Communication and Computing (I4C);2022-12-21

3. A Novel Method for Enhanced Demodulation of Bearing Fault Signals Based on Acoustic Metamaterials;IEEE Transactions on Industrial Informatics;2022-10

4. A Comparison of Machine Learning Methods for the Diagnosis of Motor Faults Using Automated Spectral Feature Extraction Technique;Journal of Nondestructive Evaluation;2022-03-25

5. Condition monitoring of water pump bearings using ensemble classifier;Advances in Mechanical Engineering;2022-03

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