Wavelet based cutting state identification

被引：39
|
作者：
Berger, BS [1 ]
Minis, I [1 ]
Harley, J [1 ]
Rokni, M [1 ]
Papadopoulos, M [1 ]
机构：
[1] Univ Maryland, Dept Mech Engn, College Pk, MD 20742 USA
来源：
JOURNAL OF SOUND AND VIBRATION | 1998年 / 213卷 / 05期
关键词：
D O I：
10.1006/jsvi.1997.1495
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Chatter and non-chatter cutting states, associated with the orthogonal cutting of stiff metal cylinders, are identified through an analysis of the ratios of the mean absolute deviations of details of the biorthogonal 6,8 wavelet decomposition of cutting force measurements. Sequences of cutting experiments were performed in which either depth of cut or turning frequency was varied. For light and medium cutting the mean absolute deviations of the ratios of details d(3) and d(4) is less than 7 while for chatter it is greater than 15. The kurtosis of detail d(3) is shown to identify transitions to chatter.
引用
收藏
页码：813 / 827
页数：15
相关论文
共 50 条
  • [31] Wavelet based noise reduction by identification of correlations
    Borsdorf, Anja
    Raupach, Rainer
    Hornegger, Joachim
    PATTERN RECOGNITION, PROCEEDINGS, 2006, 4174 : 21 - 30
  • [32] Fault identification of the mechatronic equipment based on wavelet
    Wang, Jianzhong
    Cheng, Wenhua
    Huang, Zhichu
    Zhang, Hui
    Wuhan Gongye Daxue Xuebao/Journal of Wuhan University of Technology, 2000, 22 (05): : 71 - 75
  • [33] Wavelet based feature extraction for palmprint identification
    Lu, GM
    Wang, KQ
    Zhang, D
    SECOND INTERNATION CONFERENCE ON IMAGE AND GRAPHICS, PTS 1 AND 2, 2002, 4875 : 780 - 784
  • [34] Wavelet based Human Voice Identification System
    al Balushi, Maryam Mohammed Mubarak
    Lavanya, Vidhya R.
    Koottala, Sreedevi
    Singh, Ajay Vikram
    2017 INTERNATIONAL CONFERENCE ON INFOCOM TECHNOLOGIES AND UNMANNED SYSTEMS (TRENDS AND FUTURE DIRECTIONS) (ICTUS), 2017, : 188 - 192
  • [35] Cutting Pattern Identification for Coal Mining Shearer through a Swarm Intelligence-Based Variable Translation Wavelet Neural Network
    Xu, Jing
    Wang, Zhongbin
    Tan, Chao
    Si, Lei
    Liu, Xinhua
    SENSORS, 2018, 18 (02)
  • [36] Energy Efficiency State Identification Based on Continuous Wavelet Transform-Fast Independent Component Analysis
    Cai, Yun
    Shi, Xinhua
    Shao, Hua
    Yuan, Jianjian
    JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME, 2019, 141 (02):
  • [37] Cutting-state identification of machine tools based on improved Dempster-Shafer evidence theory
    Bo Xu
    Yingqiang Sun
    The International Journal of Advanced Manufacturing Technology, 2023, 124 : 4099 - 4106
  • [38] Cutting-state identification of machine tools based on improved Dempster-Shafer evidence theory
    Xu, Bo
    Sun, Yingqiang
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2023, 124 (11-12): : 4099 - 4106
  • [39] Cutting Tool Wear Monitoring Based on Wavelet Denoising and Fractal Theory
    Fu, Pan
    Li, Weilin
    Zhu, Liqin
    MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION, PTS 1 AND 2, 2011, 48-49 : 349 - 352
  • [40] WAVELET IDENTIFICATION
    HAJRAOUI, A
    DEBRUCQ, D
    BOUSSOUIS, M
    ELECTRONICS LETTERS, 1992, 28 (05) : 495 - 497
12345