摘要
牵引电机轴承因长期工作在复杂恶劣的环境中,易出现不同程度的性能退化和疲劳损伤,进而发生故障,影响列车的安全稳定运行。为保证轨道交通列车的正常运营和行车秩序,需动态跟踪轴承健康状态,实现牵引电机状态修。为此,文章对牵引电机轴承故障诊断技术进行研究,在深入分析轴承故障原因及其诊断机理的基础上,归纳总结了基于电信号、振动信号和声音信号的轴承故障诊断技术的最新进展、特点和适用场景,并指出了牵引电机轴承故障诊断技术的发展方向。
Traction motor bearings are prone to different degrees of performance degradation and fatigue damage due to long-term operation in complex and harsh environment,which affects the safe and stable operation of trains.In order to ensure the normal operation and running order of rail transit trains,healthy state of bearings is supposed to be tracked dynamically and repair according to condition of traction motors can be realized.This paper studies the bearing fault diagnosis technology of traction motors.Based on the in-depth analysis of the failure causes and the diagnosis mechanism of bearings,it summarizes the latest progress,characteristics and application scenarios of bearing fault diagnosis technology based on electrical,vibration and sound signals.Finally,development direction of traction motor bearing fault diagnosis technology is pointed out.
作者
朱文龙
杨家伟
关照议
曾威嶂
ZHU Wenlong;YANG Jiawei;GUAN Zhaoyi;ZENG Weizhang(Zhuzhou CRRC Times Electric Co.,Ltd.,Zhuzhou,Hunan 412001,China)
出处
《控制与信息技术》
2021年第5期12-19,共8页
CONTROL AND INFORMATION TECHNOLOGY
基金
国家重点研发计划(2016YFB1200401)。
关键词
牵引电机
轴承
故障诊断
特征提取
振动
声信号
电信号
traction motor
bearing
fault diagnosis
feature extraction
vibration
acoustic signal
electrical signal