Performance Degradation Assessment Of Hybrid Ceramic Balling Bearing Based On Double Impulses

As we all know,hybrid ceramic ball bearings have very good characteristics,it is precisely because of this,in the high-speed precision mechanical equipment has a very common practical application,which is also one of the devices that are easily failed.On the whole,during the process of using the bearings,the damage is continuously accumulated,and finally the performance is completely ineffective.Effectively presenting characteristic quantities reflecting the performance degradation index of the bearing can effectively detect the state of the bearing performance during operation.It is basically consistent with the steel ball rolling bearing.For mixed ceramic ball bearings,fatigue spalling is also the basic failure mode.Among them,the width of the stripping zone is one of the important indicators that reflect the level of failure of the rolling bearing.The on-line measurement of the width of the stripping area is currently a major problem.The study shows that in the case of peeling failure of the rolling bearing,the rolling body has double impact properties through the vibration signal of the peeling area.According to the relationship between the double impact time difference and the length of the bearing spalling area,it can be used to evaluate the degree of bearing failure.When an early bearing fault occurs,its fault signal is weak.Under the interference of environmental noise,it is impossible to directly observe the double-impact characteristic directly from the original signal.Two methods of signal processing were introduced in the study to enhance the dual-impact characteristics.The pre-whitening process based on the AR model removes the periodic signal components in the original signal and retains bearing fault information.Based on the MED method to enhance the impact component of the signal.At the same time,combined with spectral kurtosis and envelope extraction method to extract the double impact characteristics.The dual-impact feature extraction is performed on the actual spalling fault vibration signal.In the course of degradation of bearing performance,a good property index is not only sensitive enough to the initial degradation of the bearing,but also the basic change situation must be unified with the bearing degradation process.This paper extracts feature indexes that can characterize bearing health information from the time domain and frequency domain.Different indicators have different advantages in reflecting the degradation trend.In order to fully reflect the bearing degradation information without causing excessive calculations,the principal component analysis method is used to fuse the bearing fault feature vectors.The obtained first principal component can more sensitively and comprehensively reflect the bearing degradation information.In feature extraction,indicators in the time domain and frequency domain are closely related to the signal amplitude.To maintain the consistency of the degradation index,the signal cannot be pre-processed,resulting in the extraction of the characteristic indicators can not be well monitored bearing early failure.This article proposes the use of double impact intervals as an indicator of bearing performance degradation.The double impact interval is the amount of time,and the effect of the signal preprocessing method on the amount of time is small,and the consistency can still be maintained.Through the double impact feature extraction of the data obtained in the life test,it is found that the double impact interval in the degradation process increases with the degradation of the bearing performance,and it can better detect the early bearing failure.