基于瞬时频率估计与Vold-Kalman滤波的铣削颤振识别

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (16) : 70-76.

论文

汪晓姗，彭志，陈是扦

作者信息 +

Chatter detection in milling process based on instantaneous frequency estimation and the Vold-Kalman filter

WANG Xiaoshan，PENG Zhike，CHEN Shiqian

Author information +

文章历史 +

摘要

颤振严重制约了高速铣削加工效率。动态铣削力信号具有非线性、非平稳的特点，常规的信号分解方法难以处理该类信号。本文提出了一种基于瞬时频率估计和Vold-Kalman滤波的多分量信号分解方法，并运用该信号分解方法识别颤振。首先，基于频谱集中性指标估计信号的瞬时频率参数；然后，用Vold-Kalman滤波器提取对应参数的各信号分量；由于颤振时铣削力信号的能量分布在频域发生变化，由此引入能量熵的定义。最后采用分解得到的子信号能量熵变化来识别颤振。实验分析表明该方法有效可行。

Abstract

Chatter is the major factor affecting the efficiency of high-speed milling.Chatter signal in milling has obvious nonlinear and non-stationary properties.It is difficult for the conventional signal analysis method to deal with signals in such category.This paper presented a multi-component signal decomposition method based on instantaneous frequency estimation and the Vold-Kalman filter.And the signal decomposition method was applied to chatter detection.First, the instantaneous frequency parameters of the signals were estimated based on the spectral concentration index.Then, the Vold-Kalman filter was applied to extract the signal components corresponding to the estimated parameters.Since the energy distribution of the milling force signal changed in the frequency domain as a result of chatter, the definition of energy entropy was introduced.Finally, chatter was identified by the change of energy entropy of the sub-signal.The experimental results show that the method is effective and feasible.

导出引用

汪晓姗，彭志科，陈是扦. 基于瞬时频率估计与Vold-Kalman滤波的铣削颤振识别[J]. 振动与冲击, 2018, 37(16): 70-76

WANG Xiaoshan，PENG Zhike，CHEN Shiqian. Chatter detection in milling process based on instantaneous frequency estimation and the Vold-Kalman filter[J]. Journal of Vibration and Shock, 2018, 37(16): 70-76

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