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Open AccessArticle

New Spectral Markers for Broken Bars Diagnostics in Induction Motors

1
Department of Robotics and Industrial Systems Automation, Saint Petersburg Electrotechnical University “LETI”, Professora Popova 5, 197376 Saint Petersburg, Russia
2
Control and Modelling Group (GCOM), Department of Electrical Engineering, Federal University of São João del-Rei, São João del-Rei MG 36307-352, Brazil
3
Department of Computer-Aided Design, Saint Petersburg Electrotechnical University “LETI”, Professora Popova 5, 197376 Saint Petersburg, Russia
4
Youth Research Institute, Saint Petersburg Electrotechnical University “LETI”, Professora Popova 5, 197376 Saint Petersburg, Russia
*
Author to whom correspondence should be addressed.
Machines 2020, 8(1), 6; https://doi.org/10.3390/machines8010006
Received: 26 January 2020 / Revised: 26 January 2020 / Accepted: 27 January 2020 / Published: 28 January 2020
The paper discusses the spectral markers of fault rotor bars in induction motor current signature analysis (MCSA). The results of the simulation of the deterioration process for a single rotor bar, as well as the results of research for various mutual bracing of two broken bars, are reported. We proposed a simple empiric technique allowing one to obtain frequencies for spectrum markers of damaged rotor bars based on simulation analysis. The set of frequencies obtained in the experimental part of the study was compared with simulation results and the results of real-life measurements. The theoretical results were verified through the experiment with the real induction motor under load. Analysis of experimental results proved that the given algorithm for spectrum analysis is suitable for early detection of fault rotor bars in induction motors.
Keywords: rotor bar fault; induction machine; finite-element analysis; motor current signature analysis rotor bar fault; induction machine; finite-element analysis; motor current signature analysis
MDPI and ACS Style

Baranov, G.D.; Nepomuceno, E.G.; Vaganov, M.A.; Ostrovskii, V.Y.; Butusov, D.N. New Spectral Markers for Broken Bars Diagnostics in Induction Motors. Machines 2020, 8, 6.

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