基于MCKD降噪的工业NMB轴承故障信号处理研究

Research on Fault Signal Processing of Industrial NMB Bearing Based on MCKD Noise Reduction

为了进一步提高工业NMB轴承运行过程中隐藏在内部的故障,设计了一种基于最大相关峭度(MCKD)降噪的轴承滚珠故障信号处理方法,并开展实测测试信号分析。研究结果表明:轴承滚珠信号冲击特征获得显著增强的效果;根据平方包络谱确定滚珠故障特征频率与倍频,准确检测轴承的滚珠故障;设计的MCKD方法可以实现对轴承故障信号的诊断,尤其是针对于包含强噪声的信号,满足强噪声条件下的故障识别要求。该研究适用于其他的轴承的内圈外圈等部件的检测,具有很高的推广价值。

In order to further improve the internal faults hidden in the operation of industrial NMB bearings,a bearing ball fault signal processing method based on maximum correlation kurtosis(MCKD)noise reduction was designed,and the test signal was analyzed.The results show that the impact characteristics of the bearing ball signal are significantly enhanced.The characteristic frequency and frequency doubling of ball faults are determined according to the square envelope spectrum,and the ball faults of bearings are accurately detected.The MCKD method designed in this paper can realize the diagnosis of bearing fault signals,especially for the signals containing strong noise,and meet the requirements of fault identification under the condition of strong noise.The research can be applied to the detection of other bearing parts such as inner and outer rings,and has high popularization value.