The seal end face will produce acoustic emission information in the process of operation.The acoustic emission signal will be transmitted to the transmission pin(or anti-transfer pin),the sealing ring seat and the sealing gland along the sealing ring body.The AE monitoring probe is generally placed on the sealing gland,where not only the friction signal of the sealing end face can be monitored,but also the AE signals generated by bearings,motors and other parts.In order to improve the SNR of the friction signal,it is necessary to filter and reduce the noise of the detected signal.The filtering noise reduction method based on empirical wavelet transform and relative entropy(EWT-KLD)proposed in this paper can remove noise from AE signals under different working conditions and different friction states,and effectively improve the SNR of friction AE signals on seal end faces,especially the SNR of weak friction signals.It greatly improves the accuracy and sensitivity of the acoustic emission detection of the seal face friction,especially for the early friction monitoring of the seal face,and makes the monitoring of the cumulative change process of the seal face friction more accurate.
关键词
机械密封/端面摩擦/声发射/信号降噪
Key words
mechanical seal/end face friction/acoustic emission/signal noise reduction