基于全矢局部均值分解的齿轮故障诊断方法研究  

Research of Gear Fault Diagnosis Method Based on Full Vector of Local Mean Decomposition

作　　者：苏文芳[1] 李凌均[1] 韩捷[1] 石帅锋 

机构地区：[1]郑州大学振动工程研究所,河南郑州450001

出　　处：《机床与液压》2015年第3期182-184,共3页Machine Tool & Hydraulics

基　　金：国家自然科学基金(50675209);河南省高等学校青年骨干教师资助项目(2010GGJS-020);河南省教育厅自然科学研究计划(2010B460014)

摘　　要：针对齿轮故障信号大多数是难分解的多分量的调幅-调频信号的问题,提出一种新的信号处理方法——全矢局部均值分解(FVLMD)方法。局部均值分解(LMD)可将多分量信号自适应地分解为多个单分量信号;全矢谱技术可以解决单通道信号不完整的问题。运用信息融合技术,将信号LMD分解得到的PF(Product Function)分量进行全矢谱融合分析,这样既可以将信号彻底分解,又可以保证其完整性。齿轮故障信号验证了该方法的有效可行性。Aimed at the problem of most of the gear fault signals are the multi-component AM-FM signals which are very difficult to decompose, a new signal processing method of the full vector of local mean decomposition （FVLMD） was proposed. A multi-compo- nent signal was adaptively decomposed into a complex of series of single-component signals by using the local mean decomposition （LMD）. The problem which single-channel signal was usually not complete was solved by the full vector spectrum technology. By using the information fusion technology, the PF （ Product Function） component decomposed by LMD was fused with analysis by the full vec- tor spectrum. So the signals can not only be decomposed completely, but also their integrity can be ensured. Its effectiveness and feasi- bility are verified through the gear fault signals.

关 键 词：全矢谱 局部均值分解 全矢局部均值分解 齿轮故障诊断 

分 类 号：TH206.3[机械工程—机械制造及自动化] TB53[理学—物理]