Detection of Eccentricity Faults in Machine UsingFrequency Spectrum Technique-Reference-Cited by-同舟云学术

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Detection of Eccentricity Faults in Machine UsingFrequency Spectrum Technique

Published:2011 Issue: Volume: Page:111-119
ISSN:1793-8163
Container-title:International Journal of Computer and Electrical Engineering
language:
Short-container-title:IJCEE

Author:

Ahmed Intesar,Ahmed Manzar,Imran Kashif,Khan M. Shuja,JunaidAkhtar S.

Publisher

IACSIT Press

Cited by 6 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. Revolutionizing Motor Health: IoT-Driven Detection of Electrical Abnormalities in Three-Phase A.C. Induction Motors;Malaysian Journal of Science and Advanced Technology;2023-12-04

2. A Novel Investigation on Multi-Sensor Signal Signatures for Induction Motors Diagnostics;2022 International Conference on Electrical Machines (ICEM);2022-09-05

3. Motor Current Signature Analysis for the Air Gap Eccentricity Detection In the Squirrel Cage Induction Machines;Energy Procedia;2019-04

4. Condition Monitoring and Fault Diagnosis of Induction Motors: A Review;Archives of Computational Methods in Engineering;2018-09-10

5. Analytical Tools for Motor Fault Diagnosis;Induction Motor Fault Diagnosis;2016

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