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    高向东 教授
    来源: 时间:2019-05-30 浏览:

    

    高向东,博士,教授,博士(硕士)生导师。1985年毕业于郑州大学计算机与自动化系,获工学学士学位;1988年毕业于中南大学自动化系,获工学硕士学位;1997年毕业于华南理工大学机电工程学院,获工学博士学位(与日本九州大学联合培养)。2002年:韩国先进科技研究院(KAIST)客座教授;2008年:日本大阪大学访问教授,中国政府派遣研究员;2014年:日本学术振兴会(JSPS)特邀研究员及日本大阪大学访问教授;2018年:受邀赴美国哈佛大学交流访问。先后主持完成国家自然科学基金、广东省重大科技攻关、广东省自然科学基金、广州市科技攻关、留学回国人员科研基金等科研项目40余项,在国内外期刊和国际学术会议发表论文380余篇,获国家授权专利40多件,荣获省部级科学技术奖励10余项。与美国、日本、韩国、德国、法国等国外重点大学有长期学术合作,联合培养研究生多名。现为广东省焊接工程技术研究中心主任、广东省机械工程学会焊接分会副理事长、中国机械工程学会高级会员、中国自动化学会高级会员、中国图像学会高级会员、国家科学技术奖励评审专家。主要研究领域包括:光机电先进传感与控制,机器人自动焊接,机器视觉与模式识别,车辆自动识别与跟踪。

    1. 教育与研究经历

    · 1985年 郑州大学 工业自动化专业 获学士学位;

    · 1988年 中南大学 工业自动化专业 获硕士学位;

    · 1997年 华南理工大学 焊接自动控制专业 获博士学位;

    · 2008年  日本大阪大学 中国政府派遣研究员;

    · 2002年  韩国先进科技研究院(KAIST)客座教授;

    · 2014年  日本学术振兴会(JSPS)特邀研究员及日本大阪大学访问教授;

    · 2018年  美国哈佛大学访问交流。

    2. 研究方向
     光机电先进传感与控制;机器人自动焊接;机器视觉与模式识别;车辆自动识别与跟踪。

    3. 职务、兼职和荣誉称号

    · 广东工业大学 教授,博士(硕士)生导师

    · 广东省焊接工程技术研究中心主任

    · 广东省机械工程学会焊接分会副理事长

    · 中国机械工程学会高级会员

    · 中国自动化学会高级会员

    · 中国图像学会高级会员

    · 广东工业大学优秀教师称号

    · 广东工业大学优秀研究生导师称号

    · 广东工业大学先进科技工作者称号

    · 广东省精品课程《现代控制理论与工程》负责人


    4. 主持的主要项目

    · 高向东(主持),国家自然科学基金51675104,不可见焊接缺陷旋转场能堆积磁光成像检测关键问题研究,2017.01-2020.12

    · 高向东(主持),国家自然科学基金51175095, 激光焊接不可见焊缝磁光成像自动跟踪关键问题研究, 2011.01-2014.12

    · 高向东(主持),国家自然科学基金0375012, 基于图像质心的焊缝跟踪新方法研究, 2003.01-2005.12

    · 高向东(主持),国家自然科学基金59975030, 强等离子体能量传递机理与智能控制的研究, 1999.01-2002.12

    · 高向东(主持),广东省前沿与关键技术创新专项资金(重大科技专项)项目2014B090921008锻压装备复杂结构机身体机器人自动焊接系统集成与应用2015.01-2017.12

    · 高向东(主持),广东省自然科学基金重点项目10251009001000001,大功率光纤激光焊接不可见焊缝红外识别与跟踪关键技术研究, 2010.01-2012.12

    · 高向东(主持),教育部高等学校博士学科点专项科研基金(博士生导师类)20104420110001,激光焊接不可见焊缝红外识别与跟踪关键问题研究, 2010.01-2012.12

    · 高向东(主持),广东省科技计划项目2007B010400069, JCOE直缝双面埋弧焊管焊缝跟踪机的研制, 2007.01-2009.12

    · 高向东(主持),广州市科技计划项目2001-Z-097-01,铁路车辆轮对自动检测装置的研制, 2001.01-2003.12

    · 高向东(主持),广东省科技计划项目2016A010102015,机器人焊接成形激光视觉自动检测技术,2015.09-2018.12

    5. 获奖情况

    · 广东省科技进步二等奖,三维复杂焊缝自动焊接及焊接状态多传感在线检测,2018

    · 中国物流与采购联合会科技进步一等奖,运输车辆结构体自动焊接及焊接质量多传感在线检测技术,2018

    · 中国卫星导航定位科技进步二等奖,基于北斗/GPS双模进口汽车可视化检验监管平台,2016

    · 中国检验检疫学会科技二等奖,新能源汽车行车状态智能采集系统设计与开发,2017

    · 中国物流与采购联合会科技进步一等奖,大型机械结构件智能化焊接制造生产物流系统研发与应用,2020

    · 中国分析测试协会科学技术一等奖,磁光成像频域特征与X射线传感分析关键技术研究,2020

    · 中国仪器仪表学会科学技术进步二等奖,基于车联网的新能源汽车车载终端研发及应用示范,2021

    6. 发表的主要论文

    · Lin Wang, Xiangdong Gao*, Fanrong Kong. Keyhole Dynamic Status and Spatter Behavior during Welding of Stainless Steel with Adjustable-ring Mode Laser Beam. Journal of Manufacturing Processes. 2022, 74: 201–219.

    · Xi’an Fan, Xiangdong Gao*, Nanfeng Zhang, Guangwen Ye, Guiqian Liu, Yanxi Zhang. Monitoring of 304 Austenitic Stainless-Steel Laser-MIG Hybrid Welding Process based on EMD-SVM. Journal of Manufacturing Processes. 2022, 73: 736–747.

    · Nvjie Ma, Xiangdong Gao*, Congyi Wang, Yanxi Zhang. Optimization of Magneto-optical Imaging Visualization of Micro-Defects under Combined Magnetic Field Based on Dynamic Permeability. IEEE Transactions on Instrumentation and Measurement. 2021, 70:1504909.

    · Yijie Huang, Xiangdong Gao*, Bo Ma, Yanxi Zhang. Interface formation and bonding mechanisms of laser welding of PMMA plastic and 304 austenic stainless steel. Metals. 2021, 11(9), 1495: 1-19.

    · Xi’an Fan, Xiangdong Gao*, Guiqian Liu, Nvjie Ma, Yanxi Zhang. Research and Prospect of Welding Monitoring Technology Based on Machine Vision. International Journal of Advanced Manufacturing Technology. 2021,115:3365-3391.

    · Bo Ma, Xiangdong Gao*, Lin Wang, Yanxi Zhang, Nanfeng Zhang, Deyong You. Effect of current stability on surface formation of GMAW-based multi-layer single-pass additive deposition. Journal of Mechanical Science and Technology. 2021,35 (6): 2449-2458.

    · Lin Wang, Masoud Mohammadpour, Xiangdong Gao*, Jean-Philippe Lavoie, Klaus Kleine, Fanrong Kong, and Radovan Kovacevic. Adjustable Ring Mode (ARM) laser welding of stainless steels. Optics and Lasers in Engineering. 2021, 137: 106360.

    · Yanfeng Li, Xiangdong Gao*, Yuquan Chen, Xiaohu Zhou, Yanxi Zhang, and Deyong You. Modeling for tracking micro gap weld based on magneto-optical sensing and Kalman filtering. IEEE Sensors Journal, 2021, 21(10): 11598-11614.

    · Xiangdong Gao*, Xiaohu Zhou, Congyi Wang, Nvjie Ma, Yanxi Zhang, Deyong You. Skin Depth and Detection Ability of Magneto-Optical Imaging for Weld Defects in Alternating Magnetic Field. Journal of Manufacturing Systems. 2020, 55: 44-55.

    · Xiangdong Gao*, Lin Wang, Ziqin Chen, Yanxi Zhang, Deyong You. Process Stability Analysis and Weld Formation Evaluation during Disk Laser-MAG Hybrid Welding. Optics and Lasers in Engineering. 2020, 124: 105835.

    · Nvjie Ma, Xiangdong Gao*, Congyi Wang, Yanxi Zhang, Deyong You, and Nanfeng Zhang. Influence of Sampling Frequency on Magneto-Optical Imaging Under Alternating Magnetic Field Excitation. IEEE Sensors Journal, 2019, 19(23):11591-11600.

    · Yanxi Zhang, Deyong You, Xiangdong Gao*, Seiji Katayama. Online Monitoring of Welding Status Based on a DBN Model During Laser Welding. Engineering, 2019, 5: 671-678.

    · Lin Wang, Xiangdong Gao*, Zinqin Chen. Status analysis of keyhole bottom in laser-MAG hybrid welding process. Optics Express, 2018, 26(1): 347-355.

    · Xiangdong Gao*, Chongzhou Lan, Deyong You, Guohua Li, Nanfeng Zhang. Weldment Nondestructive Testing Using Magneto-optical Imaging Induced by Alternating Magnetic Field. Journal of Nondestructive Evaluation. 2017,36:55.

    · Xiangdong Gao*, Guanxiong Huang, Deyong You, Chongzhou Lan, Nanfeng Zhang. Magneto-optical Imaging Deviation Model of Micro-gap Weld Joint. Journal of Manufacturing Systems. 2017, 42: 82-92.

    · Xiangdong Gao*, Ling Mo, Deyong You, Zhuman Li. Tight butt joint weld detection based on optical flow and particle filtering of magneto-optical imaging. Mechanical Systems and Signal Processing, 2017, 96: 16-30.

    · Xiangdong Gao*, Yingying Liu, Chongzhou Lan, Zhenlin Xiao, Xiaohui Chen. Laser-induced infrared characteristic analysis for evaluating joint deviation during austenitic stainless steel laser welding. The International Journal of Advanced Manufacturing Technology. 2017, 88(5): 1877-1888.

    · Xiangdong Gao*, Yuquan Chen, Deyong You, Zhenlin Xiao, Xiaohui Chen. Detection of micro gap weld joint by using magneto-optical imaging and Kalman filtering compensated with RBF neural network. Mechanical Systems and Signal Processing. 2017, 84: 570-583.

    · Xiangdong Gao*, Ling Mo, Zhenlin Xiao, Xiaohui Chen, Seiji Katayama. Seam tracking based on Kalman filtering of micro-gap weld using magneto-optical image. The International Journal of Advanced Manufacturing Technology. 2016, 83: 21-32.

    · Zhang Yanxi, Gao Xiangdong*, Katayama Seiji. Weld appearance prediction with BP Neural Network improved by Genetic Algorithm during disk laser welding. Journal of Manufacturing Systems. 2015, 34: 53-59.

    · Deyong You, Xiangdong Gao*, and Seiji Katayama. WPD-PCA Based Laser Welding Process Monitoring and Defects Diagnosis by Using FNN and SVM. IEEE Transactions on Industrial Electronics. 2015, 62(1): 628-636.

    · Deyong You, Xiangdong Gao*, and Seiji Katayama. A novel stability quantification for disk laser welding by using frequency correlation coefficient between multiple-optics signals. IEEE-ASME Transactions on Mechatronics. 2015, 20(1): 327-337.

    · Deyong You, Xiangdong Gao*, Seiji Katayama. Detection of Imperfection Formation in Disk Laser Welding Using Multiple On-line Measurements. Journal of Materials Processing Technology. 2015, 219(5): 209-220.

    · Gao Xiangdong*, Zhen Renhe, Xiao Zhenlin, Katayama Seiji. Modeling for detecting micro-gap weld based on magneto-optical imaging. Journal of Manufacturing Systems. 2015, 37: 193-200.

    · Deyong You, Xiangdong Gao*, Seiji Katayama. Visual-based Spatter Detection during High-power Disk Laser Welding. Optics and Lasers in Engineering. 2014, 54: 1-7.

    · Deyong You, Xiangdong Gao*, and Seiji Katayama. Review of laser welding monitoring. Science and Technology of Welding & Joining. 2014, 19(3): 181-201.

    · Xiang-Dong Gao*, Yan-Xi Zhang. Prediction Model of Weld Width during High-Power Disk Laser Welding of 304 Austenitic Stainless Steel. International Journal of Precision Engineering and Manufacturing. 2014, 15(3): 399-405.

    · Deyong You, Xiangdong Gao*, Seiji Katayama. Multisensor Fusion System for Monitoring High-power Disk Laser Welding Using Support Vector Machine. IEEE Transactions on Industrial Informatics. 2014, 10(2):1285-1295.

    · Xiangdong Gao*, Yonghua Liu, Deyong You. Detection of micro-weld joint by magneto-optical imaging. Optics & Laser Technology. 2014, 62: 141-151.

    · Deyong You, Xiangdong Gao*, and Seiji Katayama. Monitoring of High-power Laser Welding Using High-speed Photographing and Image Processing. Mechanical Systems and Signal Processing. 2014, 49: 39-52.

    · Xiangdong Gao*, Yan Sun. Monitoring of high power disk laser welding of Type 304 austenitic stainless steel based on keyhole dynamic characteristics. Insight - Non-Destructive Testing & Condition Monitoring. 2014, 56 (6): 312-317.

    · Xiangdong Gao*, Yan Sun, and Seiji Katayama. Neural network of plume and spatter for monitoring high-power disk laser welding. International Journal of Precision Engineering and Manufacturing-Green Technology. 2014, 1(4): 293-298.

    · Ziqin Chen, Xiangdong Gao*. Detection of weld pool width using infrared imaging during high-power fiber laser welding of type 304 austenitic stainless steel. The International Journal of Advanced Manufacturing Technology. 2014, 74: 1247-1254.

    · Xiangdong Gao*, Xungao Zhong, Deyong You, Seiji Katayama. Kalman Filtering Compensated by Radial Basis Function Neural Network for Seam Tracking of Laser Welding. IEEE Transactions on Control Systems Technology. 2013, 21(5):1916-1923.

    · Deyong You, Xiangdong Gao*, Seiji Katayama. Multiple-optics sensing of high-brightness disk laser welding process. NDT & E International. 2013, 6032-39.

    · Wang Teng, Gao Xiangdong*, Katayama Seiji. Analysis of laser-induced plume during disk laser welding at different speeds. Plasma Science and Technology. 2013, 15(8): 821-824.

    · X.D. GAO*, L. MO, Q. WEN, AND S. KATAYAMA. Neural Network Model for Recognizing Joint Offset during Fiber Laser Welding. Welding Journal. 2013, 92(9): 251-257.

    · Xiangdong Gao*, Qian Wen, Seiji Katayama. Analysis of high power disk laser welding stability based on classification of plume and spatter characteristics. Transactions of Nonferrous Metals Society of China. 2013, 23(12): 3748-3757.

    · Wang Teng, Gao Xiangdong*, Katayama Seiji, Jin Xiaoli. Study of dynamic features of surface plasma in high-power disk laser welding. Plasma Science and Technology. 2012, 14(3): 245-251.

    · Xiangdong Gao*, Deyong You, Seiji Katayama. Infrared image recognition for seam tracking monitoring during fiber laser welding. Mechatronics, 2012, 22(4): 370-380.

    · Xiangdong Gao*, Deyong You, Seiji Katayama. WPD-PCA Based Laser Welding on Adaptive Kalman Filter Embedded Elman Neural Network during High Power Fiber Laser Welding. IEEE Transactions on Industrial Electronics. 2012, 59 (11)4315-4325.

    · Xiangdong Gao*, Dukun Ding, Tianxiang Bai, Seiji Katayama. Weld Pool Image Centroid Algorithm for Seam Tracking Vision Model in Arc Welding Process. IET Image Processing. 2011, 5(5): 410-419.


    7. 知识产权

    · 发明人:高向东,发明专利ZL201310229304.0,超微间隙对接焊缝磁旋光成像自动检测和跟踪方法

    · 发明人:高向东, 杨雪荣, 陈章兰, 发明专利ZL200410015240.5, 结构光视觉传感步进驱动型轮对测量方法及测量装置

    · 发明人:高向东,蓝重洲,发明专利ZL201610681729.9,激光电弧复合焊3D增材修补装置及修补方法

    · 发明人:向东,黄冠雄,发明专利ZL 2015104128013,双波长双目视觉焊缝跟踪方法及跟踪系统

    · 发明人:高向东,黎扬进,王春草,发明专利ZL201810890682.6,一种微间隙焊缝跟踪方法、系统及控制终端

    · 发明人:高向东,代欣欣,郑俏俏,发明专利ZL201711282920.7,一种焊缝缺陷检测方法、装置、设备及系统

    · 发明人:高向东,马波,黄怡洁,季玉坤,发明专利ZL 201910740236.1,一种电弧增材堆积作业监测系统

    · 发明人:高向东;马波;黄怡洁,季玉坤,发明专利ZL 201910740959.1,一种基于结构光视觉传感的焊缝跟踪系统及方法


    联系方式

    地址:广东省广州市番禺区大学城外环西路100号广东工业大学机电工程学院

    邮政编码:510006

    EMAIL:  gaoxd@gdut.edu.cn