机械与电子2017，Vol.35Issue(8)：17-20,4.
地铁列车轴承振动特征提取算法研究
Research on the Algorithm of Extracting Vibration Characteristics of Metro Train Bearings
崔洪举 1李海涛 1张宝安 1郭勤涛2
作者信息
- 1. 中车青岛四方机车车辆股份有限公司,山东 青岛 266111
- 2. 南京航空航天大学,江苏 南京 210016
- 折叠
摘要
Abstract
Axle box bearing is one of the key rotating components in the metro train.It is the development trend and important application of the bearing state health monitoring technology to extract the bearing vibration characteristics, and assess and monitor the state and the health of the internal structure of the bearing.In this research, a new adaptive envelope demodulation method was implemented to break the limits of the classical method of bearing health diagnosis by means of the operation test of the axle box bearing.In addition, the bearing vibration characteristics were extracted from the metro train in combination with the test results, which verified the validity of the new method.关键词
结构健康监测/轴箱轴承/自适应解调法/轴承振动特征Key words
structural health monitoring/axle box bearing/self-adaptive demodulation method/bearing vibration characteristics/分类
机械制造引用本文复制引用
崔洪举,李海涛,张宝安,郭勤涛..地铁列车轴承振动特征提取算法研究[J].机械与电子,2017,35(8):17-20,4.
