[1] 周玉清,梅雪松,姜歌东,等. 基于内置传感器的大型数控机床状态监测技术[J]. 机械工程学报,2009,45(4):125-130. ZHOU Yuqing,MEI Xuesong,JIANG Gedong,et al. Technology on large scale numerical control machine tool condition monitoring based on built-in sensors[J]. Journal of Mechanical Engineering,2009,45(4):125-130. [2] 何志坚,周志雄,黄向明. 基于变分模态分解的关联维数及相关向量机的刀具磨损状态监测[J]. 计量学报,2018,39(2):182-186. HE Zhijian,ZHOU Zhixiong,HUANG Xiangming. Tool wear state monitoring based on variational mode deco-mposition and correlation dimension and relevance vector machine[J]. Acta Metrologica Sinica,2018,39(2):182-186. [3] 王丽华,杨家巍,张永宏,等. 基于堆叠降噪自编码的刀具磨损状态识别[J]. 中国机械工程,2018,29(17):2038-2045. WANG Lihua,YANG Jiawei,ZHANG Yonghong,et al. Tool wear condition recognition based on SDAE[J]. China Machinery Engineering,2018,29(17):2038-2045. [4] 王志坚,常雪,王俊元,等. 排列熵优化改进变模态分解算法诊断齿轮箱故障[J]. 农业工程学报,2018,34(23):59-66. WANG Zhijian,CHANG Xue,WANG Junyuan,et al. Gearbox fault diagnosis based on permutation entropy optimized variational mode decomposition[J]. Transactions of the Chinese Society of Agricultural Engineering,2018,34(23):59-66. [5] 刘又午,章青,赵小松,等. 基于多体理论模型的加工中心热误差补偿技术[J]. 机械工程学报,2002,38(1):127-130. LIU Youwu,ZHANG Qing,ZHAO Xiaosong,et al. Thermal error compensation technology of machining center based on multi-body theory model[J]. Chinese Journal of Mechanical Engineering,2002,38(1):127-130. [6] 李建卓. 匹配追踪算法在振动信号去噪中的应用[J]. 计算机与数字工程,2013,41(12):1918-1919,1988. LI Jianzhuo. Application of matching pursuit algorithm in vibration signal denoising[J]. Computer and Digital Engineering,2013,41(12):1918-1919,1988. [7] TAY D B H,TANAKA Y,SAKIYAMA A. Almost tight spectral graph wavelets with polynomial filters[J]. IEEE Journal of Selected Topics in Signal Processing,2017,11(6):812-824. [8] HAMMOND D K,GRIBONVAL R. Wavelets on graphs via spectral graph theory[J]. Applied and Computational Harmonic Analysis,2011,30(2):129-150. [9] LEANDRO J D J G,JUNIOR R M C,FERIS R S. Shape analysis using the spectral graph wavelet transform[C]// IEEE International Conference on Escience. IEEE,2013:307-316. [10] DONG X,ORTEGA A,FROSSARD P,et al. Inference of mobility patterns via spectral graph wavelets[C]// IEEE International Conference on Acoustics,IEEE,2013:3118-3122. [11] OZDEMIR A,AVIYENTE S. Graph wavelet transform:Application to image segmentation[C]// Conference on Signals,Systems & Computers,IEEE,2014:496-499. [12] BEHJAT H,LEONARDI N,SÖRNMO L,et al. Anato-mically-adapted graph wavelets for improved group-level fMRI activation mapping[J]. NeuroImage,2015,123(6):185-199. [13] DEUTSCH S,ORTEGA A,MEDIONI G. Manifold denoising based on spectral graph wavelets[C]// IEEE International Conference on Acoustics,IEEE,2016:4673-4677. [14] 王林,宋星. 基于谱图小波变换的图像压缩编码方法[J]. 计算机系统应用,2018,27(5):176-180. WANG Lin,SONG Xing. Image compression and coding method based on spectral graph wavelet transform[J]. Computer Systems & Applications,2018,27(5):176-180. [15] MASOUMI M,LI C,HAMZA A B. A spectral graph wavelet approach for nonrigid 3D shape retrieval[J]. Pattern Recognition Letters,2016,83(3):339-348. [16] 胡玲,汪政,郭啸. 谱流形小波及其在三维几何处理中的应用[J]. 湖南师范大学自然科学学报,2018,41(4):77-84. HU Ling,WANG Zheng,GUO Xiao. Spectral manifold wavelet with application in 3D geometric processing[J]. Journal of Natural Science of Hunan Normal University,2018,41(4):77-84. [17] 胡玲,李钦松,刘圣军,等. 三维模型匹配的谱图小波描述符[J]. 浙江大学学报,2019,53(4):761-769. HU Ling,LI Qinsong,LIU Shengjun,et al. Spectral graph wavelet descriptor for 3D shape matching[J]. Journal of Zhejiang University,2019,53(4):761-769. [18] CHUNG F R K. Spectral graph theory[M]. Fresno:American Mathematical Society,1997. [19] KARTHIKEYAN P,MURUGAPPAN M,YAACOB S. ECG signal denoising using wavelet thresholding technique in human stress assessment[J]. International Journal on Electrical Engineering and Informatics,2012,4(2):306-319. [20] SADOOGHI M S,KHADEM S E. A new performance evaluation scheme for jet engine vibration signal denoising[J]. Mechanical Systems and Signal Processing,2016,76-77(4):201-212. [21] HAO H,LIU M,XIONG P,et al. Multi-lead model-based ECG signal denoising by guided filter[J]. Engineering Applications of Artificial Intelligence,2019,79(2):34-44. [22] 刘奎,张冬梅,于光,等. 空气耦合超声信号的小波阈值滤噪试验研究[J]. 机械工程学报,2015,51(20):61-66. LIU Kui,ZHANG Dongmei,YU Guang,et al. Wavelet threshold denoising experiments of air-coupled ultrasonic signal[J]. Journal of Mechanical Engineering,2015,51(20):61-66. [23] 雷涛,曹华军,朱利斌,等. 交变冲击载荷下高速干切滚刀主轴系统振动响应特性研究[J]. 机械工程学报,2017,53(11):113-121. LEI Tao,CAO Huajun,ZHU Libin,et al. Vibration response characteristics research for the hob spindle system of high-speed dry hobbing under alternating impact load[J]. Journal of Mechanical Engineering,2017,53(11):113-121. [24] 孙鹏. 基于频谱分析和包络谱分析的滚动轴承故障诊断[J]. 振动与冲击,2012,5(31):189-192. SUN Peng. Rolling bearing fault diagnosis of based on spectrum and envelope spectrum analysis[J]. Journal of Vibration and Shock,2012,5(31):189-192. |