摘要
如何有效地从振动信号中提取有用信息成分一直以来都是故障诊断领域研究的热点。局部均值分解(Local Mean Decomposition,LMD)是一种新的信号自适应分解方法。本研究基于LMD的瞬时频率求解、时频分析及其故障诊断的应用。LMD的时频分析方法成功提取出实验室转子碰摩特征以及实际低速变载轧机齿轮局部故障信息,证实了方法的有效性。
Local mean decomposition（LMD） is a novel signal decomposition method in time-frequency analysis.The calculations of the instantaneous frequency and instantaneous time-frequency spectrum were discussed.Then LMD was applied to the fault diagnosis of rubbing rotor and gearbox in a mill.The results demonstrate the effectiveness of LMD for early detection of faults and its possible wide applications in machine surveillance.
出处
《振动与冲击》
EI
CSCD
北大核心
2012年第9期9-12,共4页
Journal of Vibration and Shock
基金
国家自然科学基金重点资助项目(51035007)
关键词
局部均值分解
时频分析
碰摩
齿轮箱
故障诊断
local mean decomposition
time-frequency analysis
rubbing
gearbox
fault diagnosis
