Detection of Eccentricity Faults in Machine UsingFrequency Spectrum Technique
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IACSIT Press
Cited by 5 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. A Novel Investigation on Multi-Sensor Signal Signatures for Induction Motors Diagnostics;2022 International Conference on Electrical Machines (ICEM);2022-09-05
2. Motor Current Signature Analysis for the Air Gap Eccentricity Detection In the Squirrel Cage Induction Machines;Energy Procedia;2019-04
3. Condition Monitoring and Fault Diagnosis of Induction Motors: A Review;Archives of Computational Methods in Engineering;2018-09-10
4. Analytical Tools for Motor Fault Diagnosis;Induction Motor Fault Diagnosis;2016
5. Experimental investigation on detection of air gap eccentricity in induction motors by current and vibration signature analysis using non-invasive sensors;Energy Procedia;2012
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