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基于磨损区域静电监测的滚动轴承故障信号特征分析

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针对滚动轴承振动监测信号耦合多部件激励干扰问题,引入静电监测技术,对轴承磨损区域的荷电水平进行监测研究.设计并搭建滚动轴承静电监测实验平台,通过不同转速下的故障模拟实验,完成滚动轴承静电监测;对多组监测信号进行时频域分析,并与振动监测结果进行比较.实验结果表明,静电信号在各不同转速下均能监测到各对应故障位置的特征频率,且与理论特征值相匹配;实测同组静电信号与振动信号相比,静电信号所含干扰较小,故障特征信号更为明显.研究方法和结果证明静电监测技术可避免多激励源,对滚动轴承磨损区域监测具备优势.
Feature analysis of rolling bearing fault signal based on electrostatic monitoring in wear site
Aiming at the problem of coupling multi-component excitation interference of rolling bearing vibration monitoring signals,the electrostatic monitoring technology is introduced to monitor the charge level in the bearing wear site.An experimental platform for electrostatic monitoring of rolling bearing was designed and built,and electrostatic monitoring of rolling bearing was completed through fault simulation experiments at different rotating speeds.Several monitoring signals were analyzed in time-frequency domain and compared with vibration monitoring results.The experimental results show that the characteristic frequencies of corresponding fault locations can be monitored by electrostatic signals at different rotating speeds and matched with theoretical characteristic values.Compared with vibration signals,the interference of electrostatic signals is smaller and the fault characteristic signals are more obvious.The research method and results show that the electrostatic monitoring technology avoids multiple excitation sources and has advantages in monitoring the wear site of rolling bearing.

electrostatic monitoringrolling bearingwear sitefault characteristicssignal analysis

顾双双、刘若晨、严旭、孙见忠、贝绍轶

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江苏理工学院汽车与交通工程学院,江苏常州 213001

南京航空航天大学民航学院,江苏南京 211106

静电监测 滚动轴承 磨损区域 故障特征 信号分析

国家自然科学基金国家自然科学基金国家自然科学基金江苏理工学院研究生实践创新计划项目

517052219186013952072176XSJCX22_40

2024

中国测试
中国测试技术研究院

中国测试

CSTPCD北大核心
影响因子:0.446
ISSN:1674-5124
年,卷(期):2024.50(5)