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作 者:张尔卿 林志斌[2] 刘兰 刘文斌 陈平 Zhang Erqing;Lin Zhibin;Liu Lan;Liu Wenbin;Chen Ping(China Secret Holding Co.,Ltd.,Chengdu,Sichuan 610045,China;Southwest Jiaotong University,Chengdu,Sichuan 610315,China)
机构地区:[1]中密控股股份有限公司,成都610045 [2]西南交通大学,成都610031
出 处:《化工设备与管道》2024年第2期58-65,共8页Process Equipment & Piping
基 金:国家重点研发计划“超高速干气密封关键技术研究与产品示范应用”(C2020YFB201001)。
摘 要:针对利用声发射技术监测密封端面摩擦状态,受到轴承、电机等部件摩擦产生背景噪声对密封端面摩擦信号的干扰,导致获取密封端面声发射信号信噪比不高的问题,文章提出的基于经验小波变换和相对熵(EWT-KLD)的滤波降噪方法,对采集到的原始信号进行滤波降噪处理,以提高密封端面摩擦产生声发射信号的信噪比。通过试验验证,该方法可适用于不同工况、不同介质、不同摩擦状态的声发射信号进行降噪,提高50 kHz以上声发射信号的信噪比,尤其是密封端面微弱摩擦产生信号的信噪比,有效地提高了密封端面摩擦声发射检测的精度和灵敏度,对于早期密封端面摩擦监测的作用尤为明显,使得密封端面摩擦状态累积变化过程的监测更准确。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.
分 类 号:TH136[机械工程—机械制造及自动化]
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