现代电子技术2012，Vol.35Issue(15)：106-109,4.
基于小波包分析的高速牵引电机轴承故障诊断研究
Study on high-speed traction motor bearings fault diagnosis using wavelet packets
邓湘 1吴勇 1唐宇1
作者信息
- 1. 北京交通大学机械与电子控制工程学院,北京 100044
- 折叠
摘要
Abstract
In this paper, high-speed traction motor bearings are classified into different types and a brief analysis on these types is given. The developed fault diagnosis and test platform for high-speed traction motor bearing based on the combination of Lab VIEW and Matlab wavelet packets is introduced. On the basis of the platform, the sampled vibration signals resulting from bearings with the known defects in high-speed traction motor bearing experiment station are decomposed using the wavelet package of Matlab as a tool, and then the energy spectrum diagram of signals are drawn. Consequently, the signals collectd from bearing with faults are filtered through yulewalk band-pass filter. Then the features of the fault frequency are accurately extracted and the fault detection and indentification is conducted with confidence. The experimental results prove the feasibility of the system.关键词
牵引电机轴承/故障诊断/小波分析/虚拟仪器Key words
traction motor bearing/fault diagnosis/ wavelet analysis/ virtual instrument分类
信息技术与安全科学引用本文复制引用
邓湘,吴勇,唐宇..基于小波包分析的高速牵引电机轴承故障诊断研究[J].现代电子技术,2012,35(15):106-109,4.
