Broken Bar Faults Detection Under Induction Motor Starting Conditions Using the Optimized Stockwell Transform and Adaptive Time–Frequency Filter

Author:

Esam El-Dine Atta MohamedORCID,Ibrahim Doaa KhalilORCID,Gilany Mahmoud I.ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Cited by 19 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. Diagnosing Faults in Electrical Machines Using VMD: The Effect of the Sampling Frequancy;2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC);2024-05-12

2. Role of image feature enhancement in intelligent fault diagnosis for mechanical equipment: A review;Engineering Failure Analysis;2024-02

3. Broken rotor bar fault detection using odd triple harmonics in delta-connected induction motors;2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED);2023-08-28

4. A Novel Method for Rotor Fault Diagnostics in Induction Motors using Harmonic Isolation;2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED);2023-08-28

5. Nature‐inspired artificial bee colony‐based hyperparameter optimization of CNN for anomaly detection in induction motor;Expert Systems;2023-07-26

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