The Bivariate Empirical Mode Decomposition and Its Contribution to Grinding Chatter Detection
The Bivariate Empirical Mode Decomposition and Its Contribution to Grinding Chatter Detection
复制标题
双变量经验模态分解及其对磨削颤振检测的贡献
DOI：
10.3390/app7020145
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发表时间：
2017-02
影响因子：
2.7
通讯作者：
Qian Jiacheng
中科院分区：
文献类型：
--
作者：
Chen Huanguo;Shen Jianyang;Chen Wenhua;Wu Chuanyu;Huang Chunshao;Yi Yongyu;Qian Jiacheng
磨削颤振降低了磨床的长期可靠性。检测抖动的负面影响需要改进的抖动检测技术。磨床振动信号主要是非平稳、非线性和多维的。因此，二元经验模式分解(BEMD)作为一种多信号处理方法得到了广泛的研究。本文将一种基于BEMD和Hilbert变换的特征向量提取方法应用于磨削颤振问题。用振动信号发生器产生的模拟颤振信号验证了该方法的有效性。研究了真固有模式函数(IMF)的提取准则，以及利用BEMD算法选择最理想投影方向数的方法。此外，采用实时方差和瞬时能量作为颤振特征向量，提高了颤振预测的精度。并通过计算机数控导轨磨床的实验数据验证了BEMD和Hilbert变换的结合。结果表明，BEMD在处理非平稳和非线性信号方面表现出良好的性能，并显示了多个信号的同步特性。提取的颤振特征向量是磨削早期颤振的可靠预测因子。
Grinding chatter reduces the long-term reliability of grinding machines. Detecting the negative effects of chatter requires improved chatter detection techniques. The vibration signals collected from grinders are mainly nonstationary, nonlinear and multidimensional. Hence, bivariate empirical mode decomposition (BEMD) has been investigated as a multiple signal processing method. In this paper, a feature vector extraction method based on BEMD and Hilbert transform was applied to the problem of grinding chatter. The effectiveness of this method was tested and validated with a simulated chatter signal produced by a vibration signal generator. The extraction criterion of true intrinsic mode functions (IMFs) was also investigated, as well as a method for selecting the most ideal number of projection directions using the BEMD algorithm. Moreover, real-time variance and instantaneous energy were employed as chatter feature vectors for improving the prediction of chatter. Furthermore, the combination of BEMD and Hilbert transform was validated by experimental data collected from a computer numerical control (CNC) guideway grinder. The results reveal the good behavior of BEMD in terms of processing nonstationary and nonlinear signals, and indicating the synchronous characteristics of multiple signals. Extracted chatter feature vectors were demonstrated to be reliable predictors of early grinding chatter.
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DOI：
10.1016/0890-6955(92)90034-e
发表时间：
1992-12
影响因子：
14
作者：
I. Tansel
通讯作者：
I. Tansel
影响因子：
5.4
作者：
Luyu Li;G. Song;J. Ou
通讯作者：
Luyu Li;G. Song;J. Ou
双变量经验模态分解及其对风力发电机状态监测的贡献
影响因子：
4.7
作者：
Yang, Wenxian;Court, Richard;Crabtree, Christopher J.
通讯作者：
Crabtree, Christopher J.
影响因子：
8.4
作者：
Devillez, Arnaud;Dudzinski, Daniel
通讯作者：
Dudzinski, Daniel
DOI：
10.4236/jcc.2014.22004
发表时间：
2014-01
期刊：
Journal of Computer and Communications
影响因子：
--
作者：
Xinliang Zhang1,;Yue Qi1, Mingzhe Zhu
通讯作者：
Yue Qi1, Mingzhe Zhu