近期论文 |
1)Chaoyang Zhangand Pingyu Jiang*, RFID-Driven Energy-Efficient Control Approach of CNC Machine Tools Using Deep Belief Networks. IEEE Transactions on Automation Science and Engineering, 2020. 17(1): p. 129-141. 2)Kai Ding*, Yijie Zhang, Felix T.S. Chan,Chaoyang Zhang*, et al., A Cyber-Physical Production Monitoring Service System for Energy-aware Collaborative Production Monitoring in a Smart Shop Floor. Journal of Cleaner Production, 2021. 297(10): p. 126599. 3)Chaoyang Zhang, Zhengxu Wang*, Kai Ding, et al., An energy-aware cyber physical system for energy Big data analysis and recessive production anomalies detection in discrete manufacturing workshops. International Journal of Production Research, 2020. 58(23): p. 7059-7077. 4)Chaoyang Zhang, Pingyu Jiang*, Lei Zhang, et al., Energy-aware integration of process planning and scheduling of advanced machining workshop. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2017. 11(231): p. 2040-2055. 5)Chaoyang Zhang, Weidong Li, Pingyu Jiang*, et al., Experimental investigation and multi-objective optimization approach for low-carbon milling operation of aluminum. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2017. 15(231): p. 2753-2772. 6)Chaoyang Zhang, Peihua Gu and Pingyu Jiang*, Low-carbon scheduling and estimating for a flexible job shop based on carbon footprint and carbon efficiency of multi-job processing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2015. 229(2): p. 328-342. 7)Jiewu Leng, Qiang Liu*, Shide Ye, Jianbo Jing, Yan Wang,Chaoyang Zhang, et al., Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model. Robotics and Computer-Integrated Manufacturing, 2020. 63: p. 101895. 8)Chaoyang Zhang* and Weixi Ji, Digital twin-driven carbon emission prediction and low-carbon control of intelligent manufacturing job-shop. Procedia CIRP, 2019. 83: p. 624-629. 9)张朝阳*与吉卫喜,数据驱动的机床等待过程节能方法研究.中国机械工程, 2020. 31(12):第1492-1499页. 10)张朝阳,吉卫喜*与彭威,基于迁移学习的数控机床节能控制决策方法.中国机械工程, 2020. 31(23):第2855-2863页. 11)张朝阳*,吉卫喜与仇永涛,大数据驱动的离散制造车间实时能效分析方法.机械科学与技术, 2020. 39(09):第1395-1403页. 12)苏璇,吉卫喜,张朝阳等,细粒度状态驱动的离散车间动态瓶颈识别方法.机械科学与技术, 2023:第1-13页. 13)吉卫喜,徐杰,周建华,张朝阳等,现代制造技术与装备(第3版),高等教育出版社,2021.(“十二五”国家级规划教材) 14)吉卫喜,徐杰,居志兰,程峰,张朝阳等,机械制造技术基础(第3版),高等教育出版社,2024.(“十三五”江苏省高等学校重点教材) |