摘要
针对滚动轴承故障振动(非平稳信号)之特征,提出了基于小波分析的滚动轴承故障诊断方法。该方法应用M atlab软件对包含滚动轴承故障信息的信号进行小波分解和重构,通过细化频谱分析,可有效地把轴承中的故障信息成分检测出来,从而快速地判断轴承的故障类型。基于上述研究,研发出一套适用的滚动轴承摩擦副表面损伤故障诊断系统。经实践检验,诊断方法正确,检测结果稳定、可靠。该系统经改进和功能扩展,可应用于其他振动信号的采集和分析。
According to the characteristics of fault vibration of rolling bearing（non-stationary signals）,a method of fault diagnosis based on wavelet analysis was put forward.With the method,the signals included faulty information of rolling bearing were decomposed and reconstructed by Matlab software,and by zoom frequency spectrum analysis,the feature information of the rolling bearings can be extracted effectively to determine the faulty type of the rolling bearings.Based on the above,a applicable fault diagnosis system of rolling bearing with surface damage in friction pair was developed.Practice proves the method is surefire and its results are stable and reliable.The improvements and extensions can be applied to other vibration signal acquisition and analysis.
出处
《仪表技术与传感器》
CSCD
北大核心
2010年第11期99-101,共3页
Instrument Technique and Sensor
关键词
小波分析
状态监测
故障诊断
滚动轴承
特征信息
非平稳信号
wavelet analysis
condition monitoring
fault diagnosis
rolling bearing
feature information
non-stationary signal.
