【摘要】 滚动轴承作为列车的重要运动部件,由于冲击、磨损和长时间运行,很容易造成内部损伤,严重的可以引起列车翻车.为了实现货车滚动轴承的在线不拆解故障诊断,研究了在LabVIEW环境内使用MATLAB Script节点实现货车轴承声发射信号的小波包分析,提取能量特征信息,并通过概率神经网络实现货车轴承故障诊断的方法.在实验室环境内达到了较好的效果,为现场的故障诊断提供了一种可行的在线诊断方法.更多还原

【Abstract】 As an important moving part of the train bearing,due to impact,abrasion and long running,the rolling bearing is easy to cause internal damage and even cause the train overturned.In order to achieve online fault diagnosis without dismantling rolling bearing,this article makes use of MATLAB Script node in LabVIEW to do wavelet packet analysis of AE signal of the rolling bearing and extracts energy characteristic information to realizes automatic fault diagnosis with PNN.The research achieves better results in the laboratory environment and provides a viable diagnosis method for on-site fault diagnosis.更多还原