徐楚桥

发布时间:2023-09-12  发布者: 点击阅读数:




徐楚桥,男,199211月生,中共党员,工学博士,硕士研究生导师。博士毕业于上海交通大学智能制造与信息工程研究所。在智能纺纱领域,发表SCI/EI论文10余篇,授权国家发明专利5。博士论文《环锭纺细纱条干质量在线视觉检测方法研究与实现》成果作为关键技术之一被评为2021年中国智能制造十大科技进展”。作为骨干成员参与了国家重点研发计划、工信部智能制造新模式应用项目等国家级项目攻关。获得了2021年度新疆科技进步二等奖、2022年度中国纺织工业联合会科技进步二等奖等省部级奖励。

研究方向/兴趣:

工业视觉检测、智能纺纱、制造大数据分析、深度学习

论文著作:

  1. Xu C, Wang J, & Zhang J. Forecasting the power consumption of a rotor spinning machine by using an adaptive squeeze and excitation convolutional neural network with imbalanced data[J]. Journal of Cleaner Production, 2020,275:122864. (SCI, IF2020: 9.297, 中科院1)

  2. Xu C, Wang J, Tao J, Zhang J, & Zheng P. A knowledge augmented deep learning method for vision-based yarn contour detection[J]. Journal of Manufacturing Systems, 2022,63:317-328. (SCI, IF2021: 9.498, 中科院1)

  3. Xu C, Wang J, Tao J, Zhang J, & Zhong R. A knowledge augmented image deblurring method with deep learning for in-situ quality detection of yarn production[J]. International Journal of Production Research, 2023,61(13):4220-4236. (SCI, IF2021: 9.018, 中科院2)

  4. Xu C, Wang J, Zhang J, & Li X. Anomaly detection of power consumption in yarn spinning using transfer learning[J]. Computer & Industrial Engineering, 2021,152:107015. (SCI, IF2021: 5.431, 中科院2)

  5. Xu C, Wang J, Zhang J, & Lu C. A new welding path planning method based on point cloud and deep learning[C]// IEEE 16th International Conference on Automation Science and Engineering (CASE). Hong Kong, 2020. (EI)

  6. Xu C, Liu X, Wang J, Zhang J, Cao J, & Qin W. An improved GA-KRR nested learning approach for refrigeration compressor performance forecasting[C]// IEEE 15th International Conference on Automation Science and Engineering (CASE). Vancouver, 2019. (EI)

  7. 张洁,徐楚桥,汪俊亮,郑小虎. 数据驱动的机器人化纺织生产智能管控系统研究进展[J]. 纺织学报, 2022,43(9):1-10. (EI, 封面文章)

  8. Wang J, Xu C, Dai L, Zhang J, & Zhong R. An unequal deep learning approach for 3-D point cloud segmentation[J]. IEEE Transactions on Industrial Informatics, 2020,17(12):7913-7922. (SCI, IF2020: 10.215, 中科院1)

  9. Wang J, Xu C, Zhang J, Bao J, & Zhong R. A collaborative architecture of the industrial internet platform for manufacturing systems[J]. Robotics and Computer-Integrated Manufacturing, 2020,61:101854. (SCI, IF2020: 5.666, 中科院1)

  10. Wang J, Xu C, Zhang J, & Zhong R. Big data analytics for intelligent manufacturing systems: A review[J]. Journal of Manufacturing Systems, 2021,03:005. (SCI, IF2021: 8.633, 中科院2)

  11. Cheng M, Xu C, Wang J, Zhang W, Zhou Y, & Zhang J. MicroCrack-Net: A deep neural network with outline profile-guided feature augmentation and attention-based multi-scale fusion for microcrack detection of tantalum capacitors[J]. IEEE Transactions on Aerospace and Electronic Systems, 2022, doi: 10.1109/TAES.2022.3181117. (SCI, IF2021: 3.491, 中科院2)

  12. Wang J, Xu C, Yang Z, Zhang J, & Li X. Deformable convolutional networks for efficient mixed-type wafer defect pattern recognition[J]. IEEE Transactions on Semiconductor Manufacturing, 2020,33(4):587-596. (SCI, IF2020: 2.874, 中科院3)

  13. 汪俊亮,张洁,吕佑龙,张朋,徐楚桥. 工业大数据分析[M]. 北京: 电子工业出版社, 2022, ISBN 978-7-121-44182-0.

    授权专利:

  14. 张洁, 徐楚桥, 汪俊亮, 任杰, 朱子洵, 寇恩浦, 赵树煊, 李冬武. 发明专利:基于特征自匹配迁移学习的纺纱全流程能耗监测方法[P]. 中国: ZL202010498114.9, 2021-04-20.

  15. 汪俊亮, 陶静, 张洁, 徐楚桥, 李冬武, 陈泰芳. 发明专利:一种面向环锭纺细纱在线检测的视觉系统校准方法[P]. 中国:ZL202110848442.1, 2022-10-18.

  16. 张洁, 李冬武, 汪俊亮, 徐楚桥. 发明专利:一种基于张力反馈的自动接头机器人柔顺装置[P]. 中国:ZL202111097787.4, 2022-09-16.

  17. 张洁, 汪俊亮, 李冬武, 徐楚桥. 发明专利:一种基于机器视觉的断纱找头装置[P]. 中国: ZL202010380839.8, 2021-11-12.

  18. 张洁, 寇恩溥, 汪俊亮, 徐楚桥, 张晓阳. 发明专利:一种基于机器视觉的压缩机外观检测方法[P]. 中国: ZL202010376669.6, 2021-08-27.

    荣誉奖励:

  19. 2022年中国纺织工业联合会科技进步二等奖, 《家纺床品高效短流程关键技术及应用》, 排名4/10.

  20. 2021年新疆维吾尔自治区科技进步二等奖, 《低功耗环锭纺纱智能工厂关键技术及产业化》, 排名6/9.

  21. 2021年第四届中国人工智能与机器人开发者大会明珠奖, 《大数据驱动的产品质量检测技术》, 排名2/15.

    联系方式:

    Email: cqxu@wtu.edu.cn

 

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