基于LMD的时频分析方法及其机械故障诊断应用研究

摘要

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.%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.