武汉工程大学学报2011，Vol.33Issue(1)：65-70,95,7.DOI:10.3969/j.issn.1674-2869.2011.01.017
基于EMD和FFT的齿轮箱故障诊断
Gearbox fault diagnosis based on EMD and FFT
摘要
Abstract
Based upon wavelet packet analysis (WPA), empirical mode decomposition (EMD) and fast Fourier transform (FFT), a novel fault diagnosis method of gearbox is proposed in this paper.It is an adaptive signal processing method that is very suitable for non-linear and non-stationary signals.Firstly, WPA is used to decompose the original vibration signals collected from gearbox in order to obtain different frequency bands with various frequencies.Second, EMD is applied to analyze different frequency bands to acquire a finite number of stationary intrinsic mode function (IMF).Finally, FFT is employed to obtain corresponding power spectrum density through analyzing the special IMF.Fault characteristic frequency can be extracted according to the power spectrum so that we can identify and diagnosis for fault modes of gearbox.The analysis results show that the proposed approach based on EMD and FFT is able to detect gearbox fault characteristic frequency effectively.关键词
齿轮箱/经验模态分解/快速傅里叶变换/故障诊断分类
机械制造引用本文复制引用
贺文杰,Bajolet Julien,Yoann Plassard,陈汉新,鲁艳军..基于EMD和FFT的齿轮箱故障诊断 [J].武汉工程大学学报,2011,33(1):65-70,95,7.基金项目
湖北省教育厅科学技术研究重大项目(Z20101501) （Z20101501）
武汉市科技局科技攻关项目(201010621237) （201010621237）
