基于Lempel-Ziv复杂度的车削颤振预报  

The Method of Turning Chatter Forecast Research Based on the Lempel-Ziv Complexity

作　　者：邱辉[1] 李国平[1] 

机构地区：[1]宁波大学机械工程与力学学院,宁波315211

出　　处：《机械设计与研究》2016年第5期136-138,143,共4页Machine Design And Research

基　　金：浙江省自然科学基金(LY15E050005);浙江省公益性技术应用研究(2013C31017)资助项目

摘　　要：为了预报车削颤振现象,搭建了车削颤振预报实验平台获取数控车削过程中从稳定车削阶段到车削颤振阶段的时域信号,利用L-Z复杂度算法计算稳定车削阶段、过渡阶段及车削颤振阶段的复杂度,并根据"6σ原则"划分了这三个阶段的复杂度区间。分析结果表明在过渡阶段复杂度最大,复杂度区间为(0.835 3,0.837 0);其次是稳定车削阶段,其复杂度区间为(0.799 8,0.800 2);车削颤振阶段的复杂度最小,其复杂度区间为(0.755 4,0.755 7)。L-Z复杂度指标将非线性非平稳的车床振动状态量化,能准确的识别和区分不同车削状态,用于车削颤振预报。In order to forecast turning chatter phenomenon, an experiment platform is set to obtain vibration signalin the time domain from stable turning stage to turning chatter stage. Complexities of stable turning , transition and turning chatter stage are worked out using the algorithm of Lempel-Ziv complexity, and the complexity intervals are divided according to the principle of ＂6σ＂. Analysis results show that transition stage has a maximum complexity,whose complexity interval is（0. 835 3,0.837 0）, second is stable turning stage with（0. 799 8,0. 800 2 ）complexity interval, however the complexity of turning chatter stage is the minimum and its complexity interval is （0.755 4,0. 755 7）. L-Z complexity quantified the nonlinear nonstationary lathe vibrational state, which is used to forecast the cutting chatter and can accurately identify and distinguish different turning state.

关 键 词：车削颤振 时域信号 L-Z复杂度 6σ原则 复杂度区间 车削颤振预报 

分 类 号：TG519.1[金属学及工艺—金属切削加工及机床]