Citation: | Guan Shan, Wang Longshan, Nie Penget al. Identification method of tool wear based on empirical mode decomposition and least squares support vector machine[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(2): 144-148. (in Chinese) |
[1] Li Xiaoli.A brief review:acoustic emission method for tool wear monitoring during turning [J].International Journal of Machine Tool & Manufacture,2002,42:157-165 [2] Jemielniak K,Bombinski S.Tool condition monitoring in micromilling base on hierarchical integration of signal measures [J].CIPP Annals Manufacturing Technology 2008,57:121-124 [3] 王海丽,马春翔,邵华,等.车削过程中刀具磨损和破损状态的自动识别[J].上海交通大学学报,2006,40(12):2057-2062 Wang Haili,Ma Chunxiang,Shao Hua,et al.The tool wear and breakage monitoring in turning using neural network [J].Journal of Shanghai Jiaotong University,2006,40(12):2057-2062 (in Chinese) [4] 高宏力.切削加工过程中刀具磨损的智能监测技术研究 .成都:西南交通大学机械工程学院,2005 Gao Hongli.The investigation of intelligent tool wear monitoring techniques for metal cutting process .ChengDu:School of Mechanical Engineering Southwest Jiaotong University,2005 (in Chinese) [5] Huang N E,Shen Z,Long S R,et al.The empirical modedecomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society of London series A:Mathematical and Physical Sciences,1998,454:903-995 [6] 孙斌,黄胜全,周云龙,等.一种基于经验模式分解的气液两相流流型识别方法[J].仪器仪表学报,2008,29(5):1011-1015 Sun Bin,Huang Shengquan,Zhou Yunlong,et al.Identification method of gas-liquid two-phase flow regime based on empirical mode decomposition[J].Chinese Journal of Scientific Instrument,2008,29(5):1011-1015 (in Chinese) [7] 行鸿彦,许瑞庆,王长松.基于经验模态分解的脉搏信号特征研究[J].仪器仪表学报,2009,30(3):596-602 Xing Hongyan,Xu Ruiqing,Wang Changsong.Pulse signal feature research based on empirical mode decomposition[J].Chinese Journal of Scientific Instrument,2009,30(3):596-602 (in Chinese) [8] Suyken J A K,Vandewalle J.Least squares support vector machine classifiers[J].Neural Processing Letters,1999,9(3):293-300 [9] 郭新辰.最小二乘支持向量机算法及应用研究 .吉林:吉林大学计算机科学与技术学院,2008 Guo Xinchen.Study on least square support vector machine algorithms and their application .Jilin:College of Computer Science and Technology,Jilin University,2008 (in Chinese) [10] Scheffer C,Heyns P S.Wear monitoring in turning operations using vibration and strain measurements[J].Mechanical Systems and Signal Processing,2001,15(6):1185-1202 [11] 贾嵘,王小宇,张丽,等.基于EMD和AR模型的水轮机尾水管动态特征信息提取[J].电力系统自动化,2006,30(22):77-80 Jia Rong,Wang Xiaoyu,Zhang Li,et al.EMD and AR model based dynamic characteristic extraction of the draft tube of hydraulic turbines[J].Automation of Electric Power Systems,2006,30(22):77-80(in Chinese)
|