%0 Journal Article
%T 高速列车齿轮箱振动特性分析与故障识别方法<br>Vibration Characteristic Analysis and Fault Diagnosis of High Speed Train Gear-box
%A 万国强
%A 林建辉
%A 易彩
%J 机械科学与技术
%D 2018
%X 基于EEMD和HT方法的先进性，将其应用于高速列车齿轮箱振动特性分析与故障识别。采用EEMD和HT方法分析了高速列车齿轮箱的振动特性，包括时域和频域特性。通过与连续小波方法的比较，探讨了EEMD和HT方法在高速列车齿轮箱故障识别与诊断中的应用优势。研究工作中得出的结论：1） EEMD和HT方法能较好地识别高速动车组齿轮的故障特征，比常用的连续小波变换具有良好的应用性能。2）有缺陷齿轮箱的振动幅度明显大于普通齿轮箱，其振动特性发生了显著变化。<br>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
%K 高速列车
%K 齿轮箱
%K 故障检测
%K 振动特性
%K EEMD
%K HT&lt
%K br&gt
%K high speed train
%K gear box
%K fault detection
%K vibration analysis
%K EEMD
%K HT
%U http://journals.nwpu.edu.cn/jxkxyjs/CN/abstract/abstract6921.shtml