Detection and classification of broken rotor bars faults in induction machine using K-means classifier-Reference-Cited by-同舟云学术

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Detection and classification of broken rotor bars faults in induction machine using K-means classifier

Published:2016-05 Issue: Volume: Page:
ISSN:
Container-title:2016 International Conference on Electrical and Information Technologies (ICEIT)
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Author:

Ouachtouk Ilias,El Hani Soumia,Guedira Said,Dahi Khalid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7514733/7519556/07519586.pdf?arnumber=7519586

Cited by 8 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. Review of Fault Diagnosis Methods for Induction Machines in Railway Traction Applications;Energies;2024-06-04

2. Anomaly Detection of Three-Phase Induction Motor Based on Unsupervised Learning Using Frequency Distortion Characteristics;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

3. The effect of closed loop control on diagnostic indices in different faults of squirrel cage induction motor;Archives of Electrical Engineering;2024-01-02

4. Fault Diagnosis of Rolling Bearings Under Variable Working Conditions Based on EOS-CNN;2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou);2023-10-12

5. Intelligent Bearing Fault Diagnosis Method Based on HNR Envelope and Classification Using Supervised Machine Learning Algorithms;Advances in Electrical and Electronic Engineering;2021-12-30

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