基于小波包的振动攻丝特征提取方法  

Vibration tapping feature extraction based on wavelet packet analysis

作　　者：叶大鹏[1] 何聪惠[1] 吴昭同[2] 丁启全[2] 

机构地区：[1]福建农林大学机电工程学院,福建福州350002 [2]浙江大学现代制造工程所,浙江杭州310027

出　　处：《福建农林大学学报（自然科学版）》2004年第2期262-265,共4页Journal of Fujian Agriculture and Forestry University:Natural Science Edition

基　　金：福建省自然科学基金资助项目(E94002).

摘　　要：在振动攻丝过程中,切削扭矩直接反映了丝锥工作状况.利用小波包分解对信号进行精确细分,有效地提取扭矩信号能量的频带分布特征,可用于监测丝锥的工作状况.试验表明,这一特征能够有效地分辨出正常丝锥与磨钝丝锥及不同工作条件下丝锥的工况,从而为振动攻丝过程的监测奠定基础.The cutting torque represents the tap status on the vibration tapping. The feature of the torque signal can be extracted effectively by wavelet packet analysis, which can be used to monitor the whole process of the vibration tapping. The experiment showed that these features could be used to distinguish different conditions of normal, blunt taps status and different conditional tapping process, which lay a foundation for monitoring the vibration tapping process.

关 键 词：振动攻丝 振动切削 小波包变换 监测 

分 类 号：TG506.5[金属学及工艺—金属切削加工及机床]