A Robust Fault Diagnosis of Three Phase Industrial Induction Motor for Multiple Faults Using Machine Learning

Author:

Khan Asif

Publisher

Elsevier BV

Reference53 articles.

1. Broken Bars Detection on Induction Motor Using MCSA and Mathematical Morphology: An Experimental Study;J Rangel-Magdaleno;Proceedings of the 2013 IEEE International Instrumentation and Measurement Technology Conference,2013

2. Condition Monitoring and Fault Diagnosis of Induction Motors: A Review;A Choudhary;Arch. Comput. Methods Eng,2019

3. Feature Knowledge Based Fault Detection of Induction Motors Through the Analysis of Stator Current Data;T Yang;IEEE Trans. Instrum. Meas,2016

4. Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM-CART Model;M Seera;IEEE Trans. Neural Netw. Learn. Syst,2012

5. Motor Current Signature Analysis for Fault Detection of Induction Machine-A Review;N Bhole;Proceedings of the 2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE),2021

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