An Assessment on the Non-Invasive Methods for Condition Monitoring of Induction Motors

Author:

Irfan Muhammad,Saad Nordin,Ibrahim Rosdiazli,Asirvadam Vijanth S.,Alwadie Abdullah S.,Sheikh Muhammad Aman

Publisher

InTech

Cited by 13 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. Comparative Analysis of Machine Learning Algorithms for Eccentricity Fault Classification in Salient Pole Synchronous Machine;2024 IEEE Texas Power and Energy Conference (TPEC);2024-02-12

2. Data-Driven Bearing Fault Diagnosis for Induction Motor;Journal of Electrical and Computer Engineering;2023-11-25

3. Finite Element Analysis of the Noninvasive Detection and Evolution of Faults in a High Power Induction Motor through Neighboring Coil Sensors;2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE);2023-03-23

4. Sound analysis to diagnosis inner race bearing damage on induction motors using fast fourier transform;Serbian Journal of Electrical Engineering;2023

5. Employment of ANN for Predictive Motor Maintenance and Bearing Fault Detection Using Park’s Vector Analysis;2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA);2022-08-06

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