[1]解斌, 许黎明, 杨子琦, 等. 曲线磨削无干涉的近似法向跟踪算法[J]. 上海交通大学学报, 2014, 48(5): 589-593.
XIE Bin, XU Liming, YANG Ziqi, et al. Normal tracking algorithm for avoiding interference in NC profile grinding [J]. Journal of Shanghai Jiao Tong University, 2014, 48(5): 589-593.
[2]王洪雨, 姚振强, 许胜. 基于声发射技术的砂轮磨损实验研究[J]. 组合机床与自动化加工技术, 2018(8): 33-37.
WANG Hongyu, YAO Zhenqiang, XU Sheng. Experimental study of grinding wheel wear process based on acoustic emission technology [J]. Modular Machine Tool & Automatic Manufacturing Technique, 2018(8): 33-37.
[3]YANG Z, YU Z. Grinding wheel wear monitoring based on wavelet analysis and support vector machine[J]. International Journal of Advanced Manufacturing Technology, 2012, 62(1/2/3/4): 107-121.
[4]XU L M, XU K Z, CHAI Y D. Identification of grinding wheel wear signature by a wavelet packet decomposition method[J]. Journal of Shanghai Jiao Tong University, 2010, 15(3): 323-328.
[5]袁勃, 张桂香, 陈根余, 等. 基于CCD传感器的砂轮轮廓测量系统设计[J]. 传感器与微系统, 2014, 33(1): 101-104.
YUAN Bo, ZHANG Guixiang, CHEN Genyu, et al. Design of grinding wheel profile measuring system based on CCD sensor [J]. Transducer and Microsystem Technologies, 2014, 33(1): 101-104.
[6]LACHANCE S, BAUER R, WARKENTIN A. Application of region growing method to evaluate the surface condition of grinding wheels[J]. International Journal of Machine Tools & Manufacture, 2004, 44(7/8): 823-829.
[7]SU J C, TANG Y S. Measuring wear of the grinding wheel using machine vision[J]. International Journal of Advanced Manufacturing Technology, 2006, 31(1/2): 50-60.
[8]DENG C X, WANG G B, YANG X R. Image edge detection algorithm based on improved canny operator[C]//International Conference on Wavelet Analysis and Pattern Recognition. Tianjin, China: IEEE, 2013: 168-172. |