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區)
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區)
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區)
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區)
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)
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)
張潔,徐楚橋,汪俊亮,鄭小虎. 數據驅動的機器人化紡織生産智能管控系統研究進展[J]. 紡織學報, 2022,43(9):1-10. (EI, 封面文章)
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區)
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區)
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區)
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區)
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區)
汪俊亮,張潔,呂佑龍,張朋,徐楚橋. 工業大數據分析[M]. 北京: 電子工業出版社, 2022, ISBN 978-7-121-44182-0.
授權專利:
張潔, 徐楚橋, 汪俊亮, 任傑, 朱子洵, 寇恩浦, 趙樹煊, 李冬武. 發明專利:基于特征自匹配遷移學習的紡紗全流程能耗監測方法[P]. 中國: ZL202010498114.9, 2021-04-20.
汪俊亮, 陶靜, 張潔, 徐楚橋, 李冬武, 陳泰芳. 發明專利:一種面向環錠紡細紗在線檢測的視覺系統校準方法[P]. 中國:ZL202110848442.1, 2022-10-18.
張潔, 李冬武, 汪俊亮, 徐楚橋. 發明專利:一種基于張力反饋的自動接頭機器人柔順裝置[P]. 中國:ZL202111097787.4, 2022-09-16.
張潔, 汪俊亮, 李冬武, 徐楚橋. 發明專利:一種基于機器視覺的斷紗找頭裝置[P]. 中國: ZL202010380839.8, 2021-11-12.
張潔, 寇恩溥, 汪俊亮, 徐楚橋, 張曉陽. 發明專利:一種基于機器視覺的壓縮機外觀檢測方法[P]. 中國: ZL202010376669.6, 2021-08-27.
榮譽獎勵:
2022年中國紡織工業聯合會科技進步二等獎, 《家紡床品高效短流程關鍵技術及應用》, 排名4/10.
2021年新疆維吾爾自治區科技進步二等獎, 《低功耗環錠紡紗智能工廠關鍵技術及産業化》, 排名6/9.
2021年第四屆中國人工智能與機器人開發者大會明珠獎, 《大數據驅動的産品質量檢測技術》, 排名2/15.
聯系方式:
Email: cqxu@wtu.edu.cn