Diagnostics of the Technical Condition of Rolling Bearings of Asynchronous Traction Motors of Locomotives Based on Data Mining

被引：4
|
作者：
Grishchenko A.V. [1 ]
Kruchek V.A. [1 ]
Kurilkin D.N. [1 ]
Khamidov O.R. [1 ]
机构：
[1] Emperor Alexander I St. Petersburg State Transport University, St. Petersburg
来源：
Russian Electrical Engineering | 2020年 / 91卷 / 10期
关键词：
defects; diagnostics; neural networks; rolling bearing failures; traction electric motor;
D O I：
10.3103/S1068371220100041
中图分类号：
学科分类号：
摘要：
Abstract: The failures of rolling bearings of asynchronous traction motors of locomotives are studied. The malfunctions of rolling bearing units of locomotives are analyzed. The vibration and current signals and the corresponding frequency spectra of an electric motor when operating in normal conditions, as well as with bearing failures, are presented. A model to assess the technical condition of locomotive rolling bearings is developed, and the feasibility of proactive diagnosis, which makes it possible to identify defects in advance at an early stage of their development, is substantiated. The results of the study can be used in systems of real-time diagnosis of the technical condition of rolling bearings of asynchronous traction motors of locomotives. © 2020, Allerton Press, Inc.
引用
收藏
页码：593 / 596
页数：3
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