Brush Fault Analysis for Indian DC Traction Locomotive Using DWT-Based Multi-resolution Analysis

Author:

Ray Debopoma KarORCID,Rai Anisha,Khetan Ankit Kumar,Mishra Abhishek,Chattopadhyay SurajitORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,General Computer Science

Reference24 articles.

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2. M. Ojaghi, R. Aghmasheh, M. Sabouri, Model-based exact technique to identify type and degree of eccentricity fault in induction motors. IET Electr. Power Appl. 10(8), 706–713 (2016). https://doi.org/10.1049/iet-epa.2016.0026

3. J. Faiz, S.M.M. Moosavi, Detection of mixed eccentricity fault in doubly-fed induction generator based on reactive power spectrum. IET Electr. Power Appl. 11(16), 1076–1084 (2017). https://doi.org/10.1049/iet-epa.2016.0049

4. K. Patan, J. Korbicz, G. Glowacki, DC motor fault diagnosis by means of artificial neural networks, in Proceedings of the ICICAR, Poland, pp 11–18 (2007)

5. W.K. Singnoy, S. Premrudeepreechacham, Age estimation of electrographite brush in generator system for optimized maintenance planning of Sirikit hydro power plant, in Proceedings of the NAPS, USA, pp 1–6 (2014)

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