New vision about the overlap frequencies in the MCSA-FFT technique to diagnose the eccentricity fault in the induction motors
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8125121/8191962/08192034.pdf?arnumber=8192034
Cited by 11 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. Mixed Eccentricity Fault Detection for Induction Motors Based on Time Synchronous Averaging of Vibration Signals;IEEE Transactions on Industrial Electronics;2024-03
2. Enhancing the Efficiency of Failure Recognition in Induction Machines through the Application of Deep Neural Networks;Energies;2024-01-18
3. Static Eccentricity Fault Analysis in Three-Phase Induction Motors Using Current Signal;2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2023-10-25
4. Identification of Impact Frequency for Down-the-Hole Drills Using Motor Current Signature Analysis;Applied Sciences;2023-04-07
5. Variable speed induction motors’ fault detection based on transient motor current signatures analysis: A review;Mechanical Systems and Signal Processing;2023-02
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