[1]贺德强,张焕,孙一,等.基于预紧量变化的列车牵引电机轴承寿命预测方法[J].机车电传动,2018,(05):29-33.[doi:10.13890/j.issn.1000-128x.2018.05.007]
 HE Deqiang,ZHANG Huan,et al.Prediction Method of Bearing Life of Train Traction Motor Based on Preload Variation[J].Electric Drive for Locomotives,2018,(05):29-33.[doi:10.13890/j.issn.1000-128x.2018.05.007]
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基于预紧量变化的列车牵引电机轴承寿命预测方法()
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机车电传动[ISSN:1000-128X/CN:43-1125/U]

卷:
期数:
2018年05期
页码:
29-33
栏目:
研究开发
出版日期:
2018-09-10

文章信息/Info

Title:
Prediction Method of Bearing Life of Train Traction Motor Based on Preload Variation
文章编号:
1000-128X(2018)05-0029-05
作者:
贺德强12张焕 1孙一 1苗剑 1
(1. 广西大学机械工程学院,广西 南宁 530004; 2. 广西制造系统与先进制造技术重点实验室,广西南宁 530004)
Author(s):
HE Deqiang 1 2 ZHANG Huan1 SUN Yi1 MIAO Jian1
( 1. College of Mechanical Engineering, Guangxi University, Nanning, Guangxi 530004, China; 2. Key Laboratory of Guangxi Manufacturing System and Advanced Manufacturing Technology, Nanning, Guangxi 530004, China )
关键词:
轴承寿命预测预紧量牵引电机模态分析轴承振动频率
Keywords:
bearings life prediction preload traction motor modal analysis bearing vibration frequency
分类号:
U266.2;U264.1
DOI:
10.13890/j.issn.1000-128x.2018.05.007
文献标志码:
A
摘要:
为预测轴承的剩余工作寿命,分析了列车牵引电机轴承预紧量对轴承结构和动力学特征的影响,针对单个轴承个体,从轴承的各个寿命阶段研究了轴承可能发生的失效原因以及对应的轴承预紧量特征。利用 ANSYS 动力学仿真分析得出轴承的固有频率会随着轴承预紧量的减小而降低。结合预紧量与轴承接触应力的关系,提出了基于预紧量变化的轴承寿命预测方法。监测轴承振动频率来判断轴承预紧量的变化,可以对牵引电机轴承个体进行寿命预测。
Abstract:
In order to predict the remaining working life of the bearing, the influence of traction motor bearing preload on bearing structure and dynamics characteristics was analyzed. In view of the individual bearing, the possible failure reasons and the corresponding preload characteristics of bearing were studied from the life stages. Through the ANSYS dynamics simulation analysis, it was concluded that the bearing natural frequency decreases with the preload decreases of the bearing. Based on the relationship between preload and bearing contact stress, a prediction method of bearing life based on preload variation was put forward. By monitoring the bearing vibration frequency to judge the change of the preload of bearings, the individual life of the traction motor bearings was predicted.

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备注/Memo

备注/Memo:
作者简介:贺德强( 1973-),男,教授,博士生导师,主要从事机车车辆、故障诊断与智能维护、网络化制造等技术的研究工作。
更新日期/Last Update: 2018-09-10