Investigation of Acoustic Emission signals features under a simulative environment of grinding burn

被引：0
|
作者：
Guo, Li [1 ]
Sheng, Xiao-Min [1 ]
Chen, Xun [2 ]
机构：
[1] National Engineering Research Center for High Efficiency Grinding, Hunan Univ, Changsha 410082, China
[2] The University of Nottingham, Nottingham NG7 2RD, United Kingdom
来源：
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences | 2010年 / 37卷 / SUPPL. 1期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：155 / 159
相关论文
共 50 条
  • [21] Evaluation of grinding wheel loading phenomena by using acoustic emission signals
    Chien-Sheng Liu
    Yu-An Li
    The International Journal of Advanced Manufacturing Technology, 2018, 99 : 1109 - 1117
  • [22] Investigation of Acoustic Emission Signals in Pure Polycrystalline Metals under Static Tension.
    Strizhalo, V.A.
    Kalashnik, M.V.
    Likhatskii, S.I.
    Ponomarenko, I.N.
    Belogurova, V.I.
    Problemy Prochnosti, 1983, (11): : 17 - 21
  • [23] AN INVESTIGATION OF GRINDING AND WHEEL LOADING USING ACOUSTIC-EMISSION
    DORNFELD, D
    CAI, HG
    JOURNAL OF ENGINEERING FOR INDUSTRY-TRANSACTIONS OF THE ASME, 1984, 106 (01): : 28 - 33
  • [24] Investigation of the solidification of concrete according to the signals of acoustic emission
    Skal's'kyi, VR
    Koval, PM
    Serhienko, OM
    Lotots'kyi, YL
    MATERIALS SCIENCE, 2004, 40 (05) : 698 - 701
  • [25] Investigation of the Solidification of Concrete According to the Signals of Acoustic Emission
    V. R. Skal’s’kyi
    P. M. Koval’
    O. M. Serhienko
    Yu. L. Lotots’kyi
    Materials Science, 2004, 40 : 698 - 701
  • [26] Features of Grinding White Layer and Its Correlation with Acoustic Emission Signal
    Mao C.
    Sun P.
    Tang W.
    Zhang M.
    Luo Y.
    Hu Y.
    Zhang D.
    Tang K.
    Guan F.
    Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2023, 59 (09): : 349 - 359
  • [27] Grinding burn monitoring by high-frequency domain analysis of acoustic emission signal
    Tanaka, Hideaki
    Sugiyama, Tokihiko
    Kouno, Takenori
    International Journal of Abrasive Technology, 2021, 10 (04) : 269 - 282
  • [28] Neural network approach for diagnosis of grinding operation by acoustic emission and power signals
    Kwak, JS
    Ha, MK
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2004, 147 (01) : 65 - 71
  • [29] Monitoring of through-feed centreless grinding processes with acoustic emission signals
    Dias, Everaldo Araujo
    Pereira, Flavio Bonato
    Moni Ribeiro Filho, Sergio Luiz
    Brandao, Lincoln Cardoso
    MEASUREMENT, 2016, 94 : 71 - 79
  • [30] Grinding Burn Detection Based on Cross Wavelet and Wavelet Coherence Analysis by Acoustic Emission Signal
    Gao, Zheyu
    Lin, Jing
    Wang, Xiufeng
    Liao, Yuhe
    CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2019, 32 (01)
12345