摘要
针对某执行机构用精密轴系磨损的监测及诊断问题,提出一种基于变分模态分解及能量分布的故障诊断方法,在对轴承振动信号进行变分模态分解的基础上,分析了各阶有限带宽模态函数分量的功率谱能量分布情况,并根据试验数据和分析结果确定轴承振动信号功率谱能量分布阶次可以作为轴承磨损的诊断指标,最后通过搭建的轴承组件振动状态监测系统验证了该方法的有效性。
Aimed at montoring and diagnosis of wear of precision shafting for an actuator,a fault diagnosis method is proposed based on variational mode decomposition and energy distribution.Based on variational mode decomposition of bearing vibration signal,the power spectrum energy distribution of each order band-limited intrinsic mode function is analyzed.According to test data and analysis results,the order of power spectrum energy distribution of bearing vibration signal is determined as diagnosis index of bearing wear.Finally,the effectiveness of the method is verified by vibration condition monitoring system of bearing assembly.
作者
谢鹏飞
赵森
王春艳
徐俊
潘钢锋
XIE Pengfei;ZHAO Sen;WANG Chunyan;XU Jun;PAN Gangfeng(Luoyang Bearing Research Institute Co.,Ltd.,Luoyang 471039,China;Henan Machine Tool Spindle Engineering Technology Research Center,Luoyang 471039,China;School of Mechanical and Electrical Engineering,Luoyang Vocational and Technical College,Luoyang 471099,China)
出处
《轴承》
北大核心
2022年第5期60-64,69,共6页
Bearing
基金
国家科技攻关计划资助项目(JPPT-135-GH-2-102)。
关键词
滚动轴承
轴系振动
磨损
状态监测
故障诊断
rolling bearing
shafting vibration
wear
condition monitoring
fault diagnosis
