铣削刀具不同磨损期振动信号的分维特征  

Fractal Characteristic of Vibration Signals in Different Milling Tool Wear Periods

作　　者：徐创文[1] 陈花玲[1] 刘彦国[2] 高瑞春[2] 

机构地区：[1]西安交通大学机械工程学院 [2]兰州工业高等专科学校机械工程系

出　　处：《农业机械学报》2007年第6期164-168,共5页Transactions of the Chinese Society for Agricultural Machinery

摘　　要：提出了应用铣削刀具磨损工作状态下的振动加速度信号的关联维数来描述刀具不同磨损状态下的特征,进而实现对状态的监测、识别。试验证明,刀具磨损在相同状态下,振动信号具有相近的关联维数,在不同状态下则有明显的关联维数。因此,关联维数不仅可以作为状态监测与识别的重要依据,而且可以作为其他特征提取方法的补充。Tool wear often results in chaotic on milling process. Little research has been carried out on the occurrence and detection of chaotic behavior in time series signal of tool vibration. The vibration acceleration signal based on the operating stages of tool wear was established for the analysis of the correlation dimension of the operating stages of tool wear. Correlation dimension has been calculated to recognize the tool wear operating conditions. Finally, some experimental results from the fractal characteristic showed that there are distinct differences in the correlation dimension in different tool wear conditions and closed the correlation dimension in same tool wear conditions. The correlation dimension can not only be used as an important scientific basis for monitoring tool wear, but also as the complement of other characteristic picking up method.

关 键 词：铣削 刀具磨损 振动信号 时间序列 关联维数 

分 类 号：TH165.2[机械工程—机械制造及自动化] TG71[金属学及工艺—刀具与模具]