Eccentricity monitoring in induction traction motors of railway rolling stock using the Prony method
1
Department of Electromechanics and rolling stock of railways of Educational and Scientific Kyiv Institute of Railway Transport, National Transport University, Ukraine
2
Department of Heat Engineering, Kyiv National University of Construction and Architecture, Ukraine
3
Department of Oil and Gas Engineering and Technologies of the National University “Yuriy Kondratyuk Poltava Polytechnic”, Ukraine
These authors had equal contribution to this work
Submission date: 2025-07-19
Final revision date: 2025-10-02
Acceptance date: 2025-12-01
Online publication date: 2025-12-02
Publication date: 2025-12-02
Corresponding author
Oleg Gubarevych
Department of Electromechanics and rolling stock of railways of Educational and Scientific Kyiv Institute of Railway Transport, National Transport University, Ukraine
Department of Electromechanics and rolling stock of railways of Educational and Scientific Kyiv Institute of Railway Transport, National Transport University, Ukraine
KEYWORDS
TOPICS
ABSTRACT
The problems of improving and perfecting the diagnostic systems of railway transport drives continue to be the most relevant. The article proposes a method for operational monitoring of rotor eccentricity in induction traction motors of railway transport. Eccentricity is an indicator of defects that can be detected at the early stages of operation. The developed diagnostic system combines the Prony method and the Wiener–Hopf theorem, which allows to increase the accuracy of spectral analysis of stator phase currents in conditions of noise and alternating modes. The simulation modeling of the СТА-1200 traction motor of the DS-3 electric locomotive drive showed that the Prony method provides more accurate detection of subsynchronous type harmonics compared to the traditional fast Fourier transform. The obtained symmetrical spectral components reduce the risk of erroneous interpretation. The presented approach has confirmed its effectiveness for increasing the reliability of traction motor diagnostics.
FUNDING
This research received no external funding.
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