基于小波包分析的高速牵引电机轴承故障诊断研究

简析高速牵引电机轴承故障类型,介绍了LabVIEW和Matlab小波包相结合所开发的高速牵引电机轴承故障诊断测试软件平台。基于此平台,利用高速牵引电机轴承试验站对已知损伤轴承运转产生振动信号的拾取与采集,通过对信号进行小波包分解画出频谱能量图,再经过yulewalk多通带滤波器滤波,然后提取特征故障频率进行故障识别。试验结果验证了其可行性。

Study on high-speed traction motor bearings fault diagnosis using wavelet packets

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 LabVIEW 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.