Baranov, Georgii D., Nepomuceno, Erivelton, Vaganov, Michail A., Ostrovskii, Valerii Y. and Butusov, Denis N. (2020) New Spectral Markers for Broken Bars Diagnostics in Induction Motors. Machines, 8 (1). p. 6. ISSN 2075-1702
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Abstract
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.
Item Type: | Article |
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Keywords: | rotor bar fault; induction machine; finite-element analysis; motor current; signature analysis; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 16706 |
Identification Number: | 10.3390/machines8010006 |
Depositing User: | Erivelton Nepomuceno |
Date Deposited: | 15 Nov 2022 16:37 |
Journal or Publication Title: | Machines |
Publisher: | MDPI |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/16706 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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