文献类型：期刊文献

英文题名：Regenerative chatter identification in grinding using instantaneous nonlinearity indicator of servomotor current signal

作者：Li, Yong[1];Zhou, Shaoping[1];Lin, Jing[2];Wang, Xiufeng[2]

机构：[1]East China Univ Sci & Technol, Minist Educ, Key Lab Pressure Syst & Safety, Sch Mech & Power Engn, Shanghai, Peoples R China;[2]Xi An Jiao Tong Univ, Sch Mech Engn, State Key Lab Mfg Syst Engn, Xian, Shaanxi Provinc, Peoples R China

年份：2017

卷号：89

期号：1-4

起止页码：779

外文期刊名：INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

收录：;EI(收录号：20162902606549);WOS:【SCI-EXPANDED(收录号:WOS:000394500300063)】；

基金：The work is supported by the National Natural Science Foundation of China (No. 51505147) and China Postdoctoral Science Foundation Project (No. 2015M581545), partly supported by Special Foundation of ECUST (No. 222201514315), which is highly appreciated by the authors.

语种：英文

外文关键词：Regenerative chatter in grinding; Current signature; Non-stationary wavelet bicoherence; Instantaneous nonlinearity indicator; Continuous wavelet transform

摘要：Chatter is considered as one of the most important causes of instability in the precision grinding process. Suffering from the influence of nonlinearity and changed machining condition, regenerative chatter signal is nonlinear and non-stationary in nature, which makes the linear representations and stationary assumed methods not appropriate. Wavelet bicoherence is considered as an effective method for these nonlinear signals analysis. However, current wavelet bicoherence is often estimated by integrating over the finite time interval. This procedure may result to the loss of the time information; hence, it is not appropriate for chatter signal that cannot be assumed to be stationary. In this paper, an instantaneous nonlinearity indicator-based method is proposed for regenerative chatter identification in grinding by using the servomotor current signal. Firstly, the nonlinearity of servomotor current affected by regenerative chatter is discussed. After that, a non-stationary wavelet bicoherence is proposed for the quadratic nonlinear coupling detection of these nonlinear and non-stationary signals. On this basis, an instantaneous nonlinearity indicator is further established for regenerative chatter identification. The effectiveness of the proposed method is verified by simulations and experiments, and the results show that, compared with the commonly used wavelet bicoherence and continuous wavelet transform, this method can not only describe the non-stationary chatter signal in time-frequency domain but also extract the true nonlinear coupling component resulted from regenerative chatter.