Grinding Chatter Detection and Identication Based on BEMD and LSSVM

• 作 者: Huan-Guo Chen Jian-Yang Shen W
• 机 构: ZhejiangProvince’sKeyLaboratoryofReliabilityTechnologyforMechanicalandElectricalProduct,ZhejiangJial
• 出 处: 中国机械工程学报:英文版
• 发表日期: 2019年1期
• 关键词: GRINDING chatter BEMD and LSSVM Complex?value chatter SIGNAL FEATURE VECTOR GRIN
• 基金项目: Supported by National Natural Science Foundation of China(Grant No.51475432),Zhejiang Provincial National Natural Science Foundation of China(Grant No.LZ13E050003),State Key Program of National Natura

Grinding chatter is a self?induced vibration which is unfavorable to precision machining processes. This paper proposes a forecasting method for grinding state identification based on bivarition empirical mode decomposition(BEMD) and least squares support