CAJ | 학술논문

针对切削颤振信号的非线性、非平稳特征，提出基于 Hilbert-Huang 变换的切削颤振识别方法。通过对颤振信号进行经验模态分解（EMD）获得一系列本征模函数，筛选出对颤振敏感的本征模函数进行带通滤波，对滤波后本征模函数作 Hilbert 变换，绘制 Hilbert 谱；提取 Hilbert 谱幅值标准差进行颤振定量识别。用仿真及实测振动信号验证该方法的有效性，并用小波包分解方法进行对比。
침대절삭전진신호적비선성、비평은특정，제출기우 Hilbert-Huang 변환적절삭전진식별방법。통과대전진신호진행경험모태분해（EMD）획득일계렬본정모함수，사선출대전진민감적본정모함수진행대통려파，대려파후본정모함수작 Hilbert 변환，회제 Hilbert 보；제취 Hilbert 보폭치표준차진행전진정량식별。용방진급실측진동신호험증해방법적유효성，병용소파포분해방법진행대비。
Considering the nonlinear and non-stationary features of cutting chatter signals,a chatter recognition method based on Hilbert-Huang transform was proposed.In the method,a chatter signal was decomposed into a series of intrinsic mode functions (IMFs) by empirical mode decomposition (EMD),and then the IMF with rich chatter information was selected and filtered by a band-pass filter,and then the Hilbert spectrum of the filtered IMF was obtained by Hilbert transform.Finally,the cutting chatter was quantitatively recognized by calculating the amplitude standard deviation of the Hilbert spectrum.The effectiveness of the proposed method was validated by using simulated and actual vibration signals.For comparison,the results by the methods of wavelet packet decomposition and wavelet spectrum analysis were also provided.