河北工业科技2018，Vol.35Issue(3)：215-219,5.DOI:10.7535/hbgykj.2018yx03011
经验模态分解在切削振动信号分析中的应用
Application of empirical mode decomposition in analyzing cutting vibration signal
摘要
Abstract
In order to analyze the change law and the origin of the cutting vibration,the on-line monitoring method is used to collect the vibration signal.A method of analyzing vibration signals by using empirical mode decomposition(EMD)is proposed. A simulated vibration signal of piecewise frequency change is constructed.The short-time Fourier transform,wavelet transform and EMD are carried out respectively to the simulation vibration signal.The results show that the EMD method has higher time-frequency resolution.Moreover,when EMD method is used to analyze actual vibration signal and extract a typical compo-nent for drawing Hilbert amplitude spectrum,it shows that the EMD method can better reflect the time-frequency variation of the vibration signal.The EMD method is suitable for the analysis of cutting vibration signal.However,it is necessary to improve the mode mixing and low computational efficiency of the algorithm.The research result has some reference value for the analysis of non-stationary signals.关键词
切削加工工艺/切削振动/信号检测/信号分析/经验模态分解Key words
cutting technology/cutting vibration/signal detection/signal analysis/empirical mode decomposition(EMD)分类
机械制造引用本文复制引用
贾广飞,孙师泽,武哲..经验模态分解在切削振动信号分析中的应用[J].河北工业科技,2018,35(3):215-219,5.基金项目
河北省科技支撑计划项目(13211823) （13211823）
河北科技大学五大平台基金(2014PT31) （2014PT31）
