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TANG Ming, HONG Bo, LI Xiangwen, LEI Weicheng. Welding obstacles detection of girder based on RNGK-FCM algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(12): 58-62. DOI: 10.12073/j.hjxb.2018390298
Citation: TANG Ming, HONG Bo, LI Xiangwen, LEI Weicheng. Welding obstacles detection of girder based on RNGK-FCM algorithm[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(12): 58-62. DOI: 10.12073/j.hjxb.2018390298

Welding obstacles detection of girder based on RNGK-FCM algorithm

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  • Received Date: August 12, 2017
  • To solve the problem that conventional obstacle identification methods cannot be adopted for real-time and precise obstacle identification during girder welding, obstacle detection of complicated seam track based on RNGK-FCM was put forward. Real-time clustering strategy was introduced, distance function was replaced, and consequently global fast optimization was realized. Through the comparison and analysis of the clustering performances of FCM algorithm on MATLAB platform, it was proved that RNGK-FCM obstacle detection method achieved the real-time clustering strategy to gain large number of clusters, and had better robustness to ignition noise. The sensitiveness to initial value was reduced and the high accuracy of clusters identification was boasted compared to traditional FCM. A real-time obstacles recognition experiment was carried out in the automatic grinder welding production line of a certain company and it was accurate in clusters calculation, good in real time and precise in obstacles avoidance, providing a strong foundation for automatic welding of girder.
  • 庹宇翔, 石繁槐, 林 涛. 一种移动焊接机器人障碍物检测与定位方法[J]. 上海交通大学学报, 2010, 44: 126 ? 128
    Tuo Yuxiang, Shi Fanhuai, Lin Tao. A method for obstacle detection and location based on mobile welding robot[J]. Journal of Shanghai Jiaotong University, 2010, 44: 126 ? 128
    Gong M, Liang Y, Shi J, et al. Fuzzy c-means clustering with local information and kernel metric for image segmentation[J]. IEEE Transactions on Image Processing, 2013, 22(2): 573 ? 584.
    唐正魁, 董俊慧, 张永志, 等. 混合聚类RBF神经网络焊接接头力学性能预测[J]. 焊接学报, 2014, 35(12): 105 ? 108
    Tang Zhengkui, Dong Junhui, Zhang Yongzhi, et al. Prediction of mechanical properties of welding joints by hybrid cluster fuzzy RBF neural network[J]. Transactions of the China Welding Institution, 2014, 35(12): 105 ? 108
    余晓东, 雷英杰, 宋亚飞, 等. 基于核距离的直觉模糊C均值聚类算法[J]. 电子学报, 2016, 44(10): 2530 ? 2534
    Yu Xiaodong, Lei Yingjie, Song Yafei, et al. Intuitionistic fuzzy C-means clustering algorithm based on kernelled distance[J]. Acta Electronica Sinica, 2016, 44(10): 2530 ? 2534
    王威娜, 陈巨龙, 温宇鹏. 自适应的模糊C均值聚类算法[J]. 吉林化工学院学报, 2008, 25(2): 80 ? 82
    Wang Weina, Chen Julong, Wen Yupeng. Adaptive fuzzy C-means clustering algorithm[J]. Journal of Jilin Institute of Chemical Technology, 2008, 25(2): 80 ? 82
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