[1] Xiang-hong Wang, Huibing Yang, Sheng Yang, Hongwei Hu, Xiaoqiang Xu, Duo Lyung. Non-Linear Ultrasonic Testing of the Long-Period Stacking Ordered Phase Volume Fraction in Magnesium Alloys. Insight,2023,65(5):254-261. [2] Xiang-hong Wang, Zezhong He, Jun Liu, Xiaoqiang Xu,Hongwei Hu. Binocular vision vibration measurement based on pixel coordinate matching of inner corner points in a chequerboard. Insight, 2023,65(8). [3] Xianghong Wang, Hong Xie, Yonggang Tong, Bin Wang, Hongwei Hu. Three-point bending properties of 3D_C/C_TiC_Cu composites based on acoustic emission technology, Mechanical Systems and Signal Processing,2023, 184:109693. [4] Xianghong Wang, Huanhuan He, Wei Xie, Hongwei Hu. Effect of Pore Morphology of Composites on Ultrasonic Attenuation Coefficient Based on Fractal Theory. Russian Journal of Nondestructive Testing,2022,58(9): 289–300. https://doi.org/10.1134/S1061830922040106 [5] Xianghong Wang, Chenglong He, Huanhuan He, Wei Xie. Simulation and experimental research on nonlinear ultrasonic testing of composite material porosity, Applied Acoustics, 2022, 188(1) :108528. [6] Xianghong Wang,Jun Liu,Zhimi Luo,Hongwei Hu. Influence of different crack factors on acoustic wave signals using orthogonal analysis, Materials Evaluation, 2021, 79(2):136-148 [7] Xianghong Wang,Sheng Yang,Xiaojie Zhou, Hongwei Hu. Volume fraction detection of long period stacking ordered phases in Mg alloys based on dual-tree complex wavelet packet transform, Russian Journal of Nondestructive Testing,2021,57(4):281-290 [8] Xianghong Wang* , Chenglong He, Hongwei Hu, Wei Xie. Preliminary research on nonlinear ultrasonic detection of porosity of porous materials based on dynamic wavelet fingerprint technology, Sensors 2019, 19(15), 3328; https://doi.org/10.3390/s19153328 [9] Xiaoli Tang, Xianghong Wang*, R Cattley, Fengshou Gu, Andrew D. Ball. Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review. Sensors 2018, 18(12), 4113 [10] Xianghong Wang* , Zhimin Luo, Hongwei Hu, Hanling Mao. Extraction of weak crack signals based on sparse code shrinkage combined with wavelet packet filtering. Applied Acoustics, 2016, 112(11): 53-58.(SCI) [11] 王向紅*, 尹東, 胡宏偉, 毛漢領. 基于小波包和獨立分量分析的微弱多源故障聲發射信號分離上海交通大學學報, 2016, 50(5): 757-763.(EI) [12] 王向紅,向建軍,胡宏偉,謝煒,毛漢領.基于聲發射信號衰減特性的材料成分分數檢測.儀器儀表學報, 2015,36(2):453-458(EI) [13] Xianghong Wang, Jianjun Xiang, Hongwei Hu, Wei Xie, Xiongbing Li. Acoustic emission detection for mass fractions of materials based on wavelet packet technology. Ultrasonics, 2015, 60(7):27-32.(SCI) [14] 王向紅*,羅志敏,胡宏偉,尹艷山,毛漢領.裂紋長度和位置影響下聲發射信號傳播特性, 儀器儀表學報,2015,36(12):72-78. [15] Xianghong Wang*, Hanling Mao,Hongwei Hu, Zhiyong Zhang. Crack localization in hydraulic turbine blades based on kernel independent component analysis and wavelet neural network, International Journal of Computational Intelligence Systems, 2013,6(6):1116-1124..(SCI) [16] 王向紅,胡宏偉,張志勇,毛漢領. 微弱裂紋信號的稀疏編碼提取,振動工程學報,2013,26(3):311-317. [17] X.H. Wang, C.M. Zhu, H.L. Mao, Z.F. Huang. Wavelet packet analysis for the propagation of acoustic emission signals across turbine runners, NDT & E International 2009, 42(1), 42-46. (SCI: 000261991200008, EI: 20084911764287) [18] WANG Xiang-hong, ZHU Chang-ming, MAO Han-ling, HUANG Zhen-feng. Feasibility analysis for monitoring fatigue crack in hydraulic turbine blades using acoustic emission, Journal of Central South University of Technology, 2009, 16(3):444-450.(SCI: 000266781000019,EI: 20092912191334) [19] X H Wang, H L Mao, C M Zhu and Z F Huang. Damage Localization in Hydraulic Turbine Blades using Kernel Independent Component Analysis and Support Vector Machines, Proceedings of the Institution of Mechanical Engineers, Part C, Journal of Mechanical Engineering Science 2009, 223(2), 525-529. (SCI: 000263926100022,EI: 20091211966908) [20] Xianghong Wang, Changming Zhu, Hanling Mao and Zhenfeng Huang. Sounding out fatigue cracks, International Water Power and Dam Construction, 2009,61(1):40-41. (EI: 20101112772007) [21] Xiang-hong Wang, Hong-wei Hu, Yi-min Shao, Jun-qin Fu. The distance attenuation of acoustic emission signals in turbine runners. Applied Mechanics and Materials, Vol103:262-267.(EI) [22] Xiang Hong Wang, Hong Wei Hu, Zhi Yong Zhang. Attenuation of acoustic emission signals in structural interfaces. Advanced Materials Research, Vol.569:343-346.(EI) [23] Xiang-hong Wang, Yi-min Shao, Hong-wei Hu, Jun-qin Fu. Denoising method for cracks of Hydraulic turbine blades based on independent component analysis. The 2010 Sixth International Conference on Natural Computation. 2010,Vol3: 1419-1422.(EI: 20104613375518) [24] 王向紅,朱昌明,毛漢領,黃振峰.基于核主成分分析及支持向量機的水輪機葉片裂紋源定位,振動與沖擊,2010,29(11):226-229,264.(EI: 20110113551707) [25] 王向紅,朱昌明,毛漢領,黃振峰.基于小波神經網絡的水輪機葉片裂紋源的定位技術,上海交通大學學報.2008,42(8):1301-1304+1309.(EI: 20084011613597) [26] 王向紅,朱昌明,毛漢領,黃振峰.基于聲發射技術的水輪機轉輪葉片疲勞裂紋擴展速率實驗研究,中國機械工程. 2009,20(7):847-851. [27] 王向紅,朱昌明,楊廣全,張鵬.電梯系統機電耦合模型仿真研究,系統仿真學報,2007,19(10):2328-2332+2361.(EI: 20072510663694) [28] 王向紅,毛漢領,黃振峰.超聲清洗槽內空化強度的測量,應用聲學,2005,24(3): 188-191. [29] Han-lin Mao, Xiang-hong Wang, Zhen-feng Huang. Damage localization in Turbine runner blades using support vector machines. the 8th International Conference on Frontiers of Design and Manufacturing (ICFDM2008), 2008. [30] 毛漢領,王向紅,黃振峰.基于小波包分析的聲發射信號界面的衰減研究,振動與沖擊,2008,27(9):139-141+189. (EI:20084411671685) [31] Guangquan Yang, Changming Zhu, Xianghong Wang. An Alternative Method for EGCS Traffic Pattern Recognition, Elevator World, 2006, 54(8): 82-88. (EI: 20063510086335) [32] 楊廣全,朱昌明,王向紅,涂治國,基于粒子群K均值聚類算法的電梯交通模式識別,控制與決策,2007,22(10):1139-1142. (EI:20074710936671) [33] 胡宏偉,李雄兵,王向紅.復雜型面構件超聲自動檢測軌跡跟蹤控制,無損探傷,2010,34(6):27-29. [34] Hongwei Hu, Xiongbing Li, Xianghong Wang, Yimin Shao. Reliability assessment of automatic ultrasonic inspection for complex surface components. Applied Mechanics and Materials, 2011, Vols. 48-49:881-885. [35] 胡宏偉,李雄兵,倪培君,王向紅. 復雜型面構件超聲自動檢測中的匹配定位方法,中國機械工程,2012,23(2):195-199 [36]Hongwei Hu, Xiongbing Li, Xianghong Wang, Yimin Shao. Reliability assessment of automatic ultrasonic inspection for complex surface components. Applied Mechanics and Materials, 2011, Vols. 48-49:881-885. |