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2 Diagnostyka

2 2025

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Eccentricity monitoring in induction traction motors of railway rolling stock using the prony method

Goolak Sergey, Gubarevych Oleg, Yurchenko Victor, Pohosov Oleksandr, Savyk Vasyl

Diagnostyka

2025

Vol. 26, No. 4

art. no. 2025412

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.

A review of diagnostic information processing methods in the construction of systems for operating diagnostics of rotor eccentricity of induction motors

Goolak Sergey, Gubarevych Oleg, Yurchenko Victor, Kyrychenko Mykhailo

Diagnostyka

2025

Vol. 26, No. 1

art. no. 2025104

Induction motors are widely used in traction drives of rolling stock of railways. For timely detection of faults that may occur in an induction motor during operation, a functional diagnostics system is used. Thanks to such a system, it is possible to detect and prevent further development of a fault at the initial stage of its occurrence in real time. When developing a functional diagnostics system, it is important to select the most relevant method for processing diagnostic information for a specific type of damage. One of the most difficult to detect defects is rotor eccentricity. Rotor eccentricity is a consequence of a wide range of motor damages that must be monitored during operation. The paper offers an analysis of modern methods for processing diagnostic information that can be used to build a functional diagnostics system for the presence of rotor eccentricity in an induction traction motor and also provides recommendations for choosing a more effective method.