中国机械工程2011，Vol.22Issue(14)：1732-1736,5.
基于局部均值分解的阶次跟踪分析及其在齿轮故障诊断中的应用
Order Tracting Analysis Based on Local Mean Decomposition and Its Applications to Gear Fault Diagnosis
摘要
Abstract
Gear fault vibration signals in speed up or speed down processes were of multi-component modulated signals and the fault characteristic frequency varied with rotating speed.A new gear fault diagnosis method combined LMD with order tracking analysis was proposed.Firstly,the vibration signals in time domain were transformed into angle domain stational signals by order resampling.Then,a set of product functions（PF） were obtained by decomposed the signals in angle domain with LMD.At last,each PF＇s instantaneous amplitude was analyzed by frequency spectrum to extracting the fault characteristics.The analysis results from the experimental fault vibration signals of gear crack demonstrate this method can extracted the gear fault charateristics effectively.关键词
阶次跟踪分析/局部均值分解/齿轮/调制/故障诊断Key words
order tracting analysis/local mean decomposition（LMD）/gear/modulation/fault diagnosis分类
信息技术与安全科学引用本文复制引用
张亢,程军圣,杨宇..基于局部均值分解的阶次跟踪分析及其在齿轮故障诊断中的应用[J].中国机械工程,2011,22(14):1732-1736,5.基金项目
国家自然科学基金资助项目（50775068) （）
国家高技术研究发展计划（863计划)资助项目（2009AA04Z414) （）
长江学者和创新团队发展计划资助项目（531105050037) （）
