Fault diagnosis and investigation techniques for induction motor-Reference-Cited by-同舟云学术

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Fault diagnosis and investigation techniques for induction motor

Published:2022-01-05 Issue: Volume: Page:1-21
ISSN:0143-0750
Container-title:International Journal of Ambient Energy
language:en
Short-container-title:International Journal of Ambient Energy

Author:

Almounajjed Abdelelah¹,Sahoo Ashwin Kumar¹,Kumar Mani Kant²,Assaf Talal³

Affiliation:

1. Electrical Engineering Department, C.V. Raman Global University, Bhubaneswar, Odisha, India

2. Electronic and Communication Engineering Department, C.V. Raman Global University, Bhubaneswar, Odisha, India

3. Faculty of Engineering, Al-Wataniya Private University, Hama, Syria

Publisher

Informa UK Limited

Subject

Building and Construction,Renewable Energy, Sustainability and the Environment

Link

https://www.tandfonline.com/doi/pdf/10.1080/01430750.2021.2016483

Reference177 articles.

1. Induction motor broken rotor bar fault location detection through envelope analysis of start-up current using Hilbert transform

2. Novel approach using Hilbert Transform for multiple broken rotor bars fault location detection for three phase induction motor

3. Advanced Signal Processing Techniques for Bearing Fault Detection in Induction Motors

4. Distinct Bearing Faults Detection in Induction Motor by a Hybrid Optimized SWPT and aiNet-DAG SVM

5. Tool condition monitoring using spectral subtraction and convolutional neural networks in milling process

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. Improved Flow Rate and Pressure ANN Estimators for a Centrifugal Fan with Induction Motor Drive;Journal of Energy Systems;2024-08-24

2. Efficient detection and analysis of shunt faults in electric power distribution systems (EPDS) using DCFC and EFDC algorithm: a modeling and simulation approach;International Journal of Modelling and Simulation;2024-07-27

3. Infrared Thermography-Based Induction Motor Bearing Fault Detection Using Hybrid Method;2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE);2024-04-26

4. Machine learning-based fault diagnosis for three-phase induction motors in ventilation systems;Australian Journal of Mechanical Engineering;2023-12-05

5. Extended Kalman Filter design for sensorless sliding mode predictive control of induction motors without weighting factor: An experimental investigation;PLOS ONE;2023-11-30

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