摘要
针对经验模态分解在机械信号处理中的缺陷,介绍了变分模态分解的方法,并将其引用到机械信号处理中。将变分模态分解应用于振动信号,得到一组模态,筛选与故障相关的敏感模态进行包络功率谱分析。采用仿真信号和实际滚动轴承信号对该方法的有效性进行检验,证明变分模态分解法可以准确检测出滚动轴承故障。
The empirical mode decomposition has many defects in the mechanical signal processing,so the method of variational mode decomposition is focused on and introduced,and referred it to mechanical signal processing.Firstly,the variational modal decomposition was applied to the vibration signal,a set of modalities would be obtained,then the sensitive modality related to the fault would be screened,and finally the envelope power spectrum analysis would be performed.The simulation signal and the actual rolling bearing signal are used to test the effectiveness of the method,which finally proves that the variational modal decomposition method can accurately detect the rolling bearing fault.
作者
张丹
隋文涛
宋汝君
袁伟
ZHANG Dan;SUI Wentao;SONG Rujun;YUAN Wei(School of Electrical&Electronic Engineering,Shandong University of Technology,Zibo Shandong 255049,China;School of Mechanical Engineering,Shandong University of Technology,Zibo Shandong 255049,China)
出处
《机床与液压》
北大核心
2019年第17期212-215,共4页
Machine Tool & Hydraulics
基金
国家自然科学基金青年基金资助项目(51705296)
山东省自然科学基金资助项目(ZR2016EEM20)
关键词
变分模态分解
滚动轴承
故障诊断
振动信号
Variational mode decomposition
Rolling element bearings
Fault diagnosis
Vibration signal
作者简介
张丹(1977-),女,硕士,高级实验师,研究方向为电子技术,Email:zhangdan_sdut@163.com;通信作者:隋文涛(1977-),男,博士,副教授,研究方向为故障诊断。E-mail:suiwt@163.com。
