机械科学与技术2018，Vol.37Issue(1)：115-119,5.DOI:10.13433/j.cnki.1003-8728.2018.0117
高速列车齿轮箱振动特性分析与故障识别方法
Vibration Characteristic Analysis and Fault Diagnosis of High Speed Train Gear-box
摘要
Abstract
Based on the advanced characters of ensemble empirical mode decomposition (EEMD) and Hilbert transform (HT) method,it is applied to the fault diagnosis of high speed train gear box.The vibration characteristics of the gear box are analyzed with EEMD and HT methods,including the characteristics of time domain and frequency domain.The application and performance of EEMD and HT methods in identifying and diagnosing the defect of high-speed EMU gearbox is explored by compared with that of the continuous wavelet method.There are two conclusions coming from the research work:1) The EEMD and HT method can better identify the fault feature of the High-speed EMU gear than the often used continuous wavelet transform,and it has a nice application and performance in dealing with practical problems.2) The vibration amplitude of the defective gearbox is significantly much larger than the normal gearbox,and the vibration character has changed dramatically.关键词
高速列车/齿轮箱/故障检测/振动特性/EEMD/HTKey words
high speed train/gear box/fault detection/vibration analysis/EEMD/HT分类
交通工程引用本文复制引用
万国强,林建辉,易彩..高速列车齿轮箱振动特性分析与故障识别方法[J].机械科学与技术,2018,37(1):115-119,5.基金项目
四川省应用基础计划重点项目(2016JY0047)资助 （2016JY0047）
