S变换引导变分模态提取的旋转机械故障诊断方法  

Fault diagnosis method of rotating machinery using variational mode extraction guided by S transform

作　　者：郭远晶[1] 金晓航[2] 魏燕定[3] 杨友东[1] GUO Yuan-jing;JIN Xiao-hang;WEI Yan-ding;YANG You-dong(Zhijiang College,Zhejiang University of Technology,Shaoxing 312030,China;College of Mechanical Engineering,Zhejiang University of Technology,Hangzhou 310023,China;Key Laboratory of Advanced Manufacturing Technology of Zhejiang Province,College of Mechanical Engineering,Zhejiang University,Hangzhou 310027,China)

机构地区：[1]浙江工业大学之江学院,浙江绍兴312030 [2]浙江工业大学机械工程学院,浙江杭州310023 [3]浙江大学机械工程学院浙江省先进制造技术重点实验室,浙江杭州310027

出　　处：《振动工程学报》2022年第5期1289-1298,共10页Journal of Vibration Engineering

基　　金：国家重点研发计划资助项目(2022YFE0198900);浙江省自然科学基金资助项目(LQ17E050006);宁波市自然科学基金资助项目(2021J038)。

摘　　要：针对信号变分模态分解(VMD)存在分解层数难以确定、目标模态难以选取的问题,介绍了一种信号分解方法——变分模态提取(VME),且提出了基于S变换(ST)与VME的旋转机械故障诊断方法。VME将信号分解成两层——期望模态和残余信号,并基于一个新的准则:期望模态与残余信号之间具有最小的频谱重叠。为了使VME得到的期望模态包含充分的故障特征,采用S变换对信号进行处理,确定故障特征所在的频段,据此选取VME期望模态的中心频率初始值。为了从期望模态中提取出故障特征频率,采用平方包络谱(SES)对期望模态进行分析。仿真信号与实际振动信号的分析结果表明,所提出的ST‐VME方法能够成功提取出有价值的期望模态和准确的故障特征频率,实现旋转机械故障诊断,且与VMD相比,ST‐VME方法的目标性更强,实施更容易。In order to solve the problems existing in variational mode decomposition(VMD)that the number of mode decomposi‐tion layers is difficult to determine and the target mode is difficult to select,an improved signal decomposition method,i.e.,varia‐tional mode extraction(VME)is introduced.And a fault diagnosis method of rotating machinery based on S transform(ST)and VME is proposed.Based on a new criterion that the spectrum overlap between the desired mode and the residual signal is mini‐mized,VME method decomposes the signal into two layers,i.e.,the desired mode and the residual signal.Aiming to obtain the desired mode containing abundant fault features,the signal is processed by S transform to determine the frequency band of the fault features.Consequently,the central frequency initial value of the desired mode of VME is obtained.In order to extract the fault char‐acteristic frequency from the desired mode,the squared envelope spectrum(SES)analysis method is applied to process the desired mode.The analysis results of the simulated signal and actual vibration signals show that the proposed ST-VME method can suc‐cessfully extract the valuable desired mode and the accurate fault characteristic frequency to achieve rotating machinery fault diagno‐sis.Besides,compared with VMD,the ST-VME method is more targeted and easier to implement.

关 键 词：故障诊断 旋转机械 变分模态提取 S变换 平方包络谱 

分 类 号：TH165.3[机械工程—机械制造及自动化] TH133.3