Grinding Chatter Detection and Identification Based on BEMD and LSSVM

The Bivariate Empirical Mode Decomposition and Its Contribution to Grinding Chatter Detection

(2017) Huanguo Chen et al.   Applied Sciences-Basel

Analysis of natural mineral earthquake and blast based on Hilbert–Huang transform (HHT)

(2016) Xuelong Li et al.   JOURNAL OF APPLIED GEOPHYSICS

Unsteady aerodynamic modeling at high angles of attack using support vector machines

(2015) Qing Wang et al.   Chinese Journal of Aeronautics

Early chatter detection in gear grinding process using servo feed motor current

(2015) Yao Liu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Grinding characteristics of Asian originated peanuts (Arachishypogaea L.) and specific energy consumption during ultra-high speed grinding for natural peanut butter production

(2015) N.H. Mohd Rozalli et al.   JOURNAL OF FOOD ENGINEERING

New Neural Network Response Surface Methods for Reliability Analysis

(2011) Yuan REN et al.   Chinese Journal of Aeronautics

Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring

(2011) Wenxian Yang et al.   JOURNAL OF SOUND AND VIBRATION

On-line chatter detection and identification based on wavelet and support vector machine

(2009) Zhehe Yao et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

An automatic spindle speed selection strategy to obtain stability in high-speed milling

(2008) I. Bediaga et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Monitoring a deep hole drilling process by nonlinear time series modeling

(2008) Amor Messaoud et al.   JOURNAL OF SOUND AND VIBRATION