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基于小波包的振动攻丝特征提取方法
引用本文:叶大鹏,何聪惠,吴昭同,丁启全. 基于小波包的振动攻丝特征提取方法[J]. 福建农林大学学报(自然科学版), 2004, 33(2): 262-265
作者姓名:叶大鹏  何聪惠  吴昭同  丁启全
作者单位: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
基金项目: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.

关 键 词:振动攻丝  振动切削  小波包变换  监测
文章编号:1006-7817(2004)02-0262-04
修稿时间:2003-12-03

Vibration tapping feature extraction based on wavelet packet analysis
YE Da-peng,HE Cong-hui,WU Zhao-tong,DING Qi-quan. Vibration tapping feature extraction based on wavelet packet analysis[J]. Journal of Fujian Agricultural and Forestry University, 2004, 33(2): 262-265
Authors:YE Da-peng  HE Cong-hui  WU Zhao-tong  DING Qi-quan
Affiliation:YE Da-peng~1,HE Cong-hui~1,WU Zhao-tong~2,DING Qi-quan~2
Abstract: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.
Keywords:vibration tapping  vibration cutting  wavelet packet analysis  monitoring
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