代表性论文专著
专著:
《运载火箭数字化工程》,中国宇航出版社,2017年
期刊论文
1. Yu Zheng*, Xiangyu Bao, Fei Zhao, Chong Chen, Ying Liu*, Bo Sun, Haotong Wang. Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines. ASME Journal of Computing and Information Science in Engineering Volume 22, Issue 5,October 2022. https://doi.org/10.1115/1.4054090
2. Yu Zheng*, Liang Chen, Peng Jiang and Huanchong Cheng. A Sub-Assembly Division Method Based on Community Detection Algorithm, International Journal of Computer Integrated Manufacturing, 2021. DOI: 10.1080/0951192X.2021.1992655
3. Yu Zheng*, Liang Chen, Xiaoyan Lu, Yang Sen & Huanchong Cheng (2021) Digital twin for geometric feature online inspection system of car body-in-white, International Journal of Computer Integrated Manufacturing, 34:7-8, 752-763, DOI: 10.1080/0951192X.2020.1736637
4. Yu Zheng, SiqiQiu*, FeiShen, ChangpengHe. RFID-based material delivery method for mixed-model automobile assembly. Computers & Industrial Engineering. 2020,139:106023(IF= 5.431, ISSN 0360-8352)
5. Yu Zheng*, Fei Zhao, Zheng Wang. Fault diagnosis system of bridge crane equipment based on fault tree and Bayesian network[J]. The International Journal of Advanced Manufacturing Technology. 2019, 105: 3605–3618.
6. Yu Zheng*, Sen Yang, Huanchong Cheng. An application framework of digital twin and its case study. Journal of Ambient Intelligence and Humanized Computing[J]. 2019,10(3): 1141–1153. (MAR 2019, DOI: 10.1007/s12652-018-0911-3
7. Junzheng Li, Yu Zheng*, Zhiyuan You and Xinyi Le. DefectGAN: Generate Industrial Defects from Extremely Few Samples. International Journal on Artificial Intelligence Tools, Volume 31, Issue 06 SEP 2022. DOI10.1142/S0218213022400218
8. Junzheng Li, Jieji Ren, Mingjun Ren, Yu Zheng, Xinyi Le*. Neural Process Enhanced Machining Error Evaluation for Coordinate Measuring Machines. IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-12, 2022, Art no. 2514512, doi: 10.1109/TIM.2022.3193719.
9. Junzheng Li, Dong Pang, Yu Zheng*, Xinping Guan, Xinyi Le*(2022). A flexible manufacturing assembly system with deep reinforcement learning, Control Engineering Practice, Volume 118, 104957,
10. Wenqiang Yang, Yu Zheng* & Shaoyang Li (2022) Digital twin of spacecraft assembly cell and case study, International Journal of Computer Integrated Manufacturing, 35:3, 263-281, DOI: 10.1080/0951192X.2021.1992657
11. Wenqiang Yang, Yu Zheng*, Shaoyang Li(2021). Application Status and Prospect of Digital Twin for On-Orbit Spacecraft, IEEE Access, vol.9, pp. 106489-106500, 2021, doi: 10.1109/ACCESS.2021.3100683.
12. Bin Zhou, Bao Hua, Xinghai Gu, Yuqian Lu, Tao Peng, Yu Zheng, Xingwang Shen, Jinsong Bao*,An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents, Advanced Engineering Informatics, Volume 50,2021,101441. https://doi.org/10.1016/j.aei.2021.101441
13. Liang Chen, Yu Zheng*, Juntong Xi, Shaoyang Li. An analysis method for change propagation based on product feature network[J]. Research in Engineering Design, 2020, 31(4): 491-503.
14. Tangbin Xia, Ya Song, Yu Zheng, Ershun Pan, Lifeng Xi*. An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation[J]. Computers in industry, 2020, 115: 103182
15. Ya Song, Tangbin Xia*, Yu Zheng, Bowen Sun, Ershun Pan, Lifeng Xi. A Remaining Useful Life Prediction Framework Integrating Multiple Time Window Convolutional Neural Networks. Journal of Grey System. 2019, 32 (3): 34-47.
16. 陈亮, 郑宇*, 李少阳. 基于产品特征网络的变更传播评价方法 [J]. 计算机集成制造系统. 2019, 25(11): 2905-2912. [Liang Chen, Yu Zheng*, Shaoyang Li. Evaluation approach for change propagation based on product feature network [J]. Computer Integrated Manufacturing Systems. 2019, 25(11): 2905-2912.]
17. 孙杭,郑宇*,李少阳. 运载火箭晃动分析中知识模型的构建及应用(Construction and Applications of Knowledge Model in Sloshing Analysis for Launch Vehicle)[J].宇航学报, 2019 40(3):277-285.
18. Liang Chen, Haisheng Xu, Kaipeng Lan, Yu Zheng*. Control Chart Pattern Recognition of Sheet Metal Cutting Data in Shipbuilding Based on XGBoost [C] //2020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE, 2020: 500-507.
19. Zheng Yu*, Han Dong, Ni Yanrong, Lu Min. Research and Application of Bottom-up Route-based Product Data Conformity Inspection Approach for Civil Aircraft[J]. International Journal of Computer Integrated Manufacturing, 2014, 27(6): 591-607.
20. 郑宇*, 董川顺, 马登哲. 基于AHP和熵值法的项目供应商灰色关联评价(Semiconductor System Equipment’s Supplier Evaluation by Grey Incidence Analysis with Combination Weights by AHP and Entropy Method )[J].工业工程与管理, 2011, 16(6):66-67.
21. 郑宇*, 倪炎榕, 马登哲. 制造领域科学数据共享服务定制研究与应用(Research and Application on Manufacturing Field Scientific Data Sharing Service Customization). 计算机工程, 2011, 37(S):33-35.
22. 贺长鹏, 郑宇*, 王丽亚, 马登哲. 面向离散制造过程的RFID应用研究综述(RFID Application Research for Discrete Manufacturing)[J]. 计算机集成制造系统, 2014, 20(5):1160-1170.
23. 倪炎榕*, 郑宇, 范菲雅, 严隽琪, 马登哲. 网络化产品快速开发过程的建模方法(Modeling of the Network Based Product Rapid Development Process)[J]. 开云网页登录
学报. 2006(2):185-189
24. 赵世雄, 郑宇, 王丽亚*. 生产批量计划与预防性维护的集成优化(Joint Optimization of Production Lot Planning and Preventive Maintenance)[J]. 工业工程与管理. 2014, 19(1):23-29.
25. Zhao Shixiong, Wang Liya*, Zheng Yu. Integrating production planning and maintenance: an iterative method. Industrial Management & Data Systems[J], 2014, 114(2):162-182.
26. 王海燕, 倪炎榕*, 郑宇, 陆敏, 习俊通. 基于语义的民用飞机总装工艺数据建模(Semantic-Based Final Assembly Process Plan Data Modeling of Civil Aircraft )[J]. 计算机集成制造系统. 2013, 19(11):2788-2794.
27. 李金名, 倪炎榕*, 郑宇, 范菲雅. 面向第三方物流配送的道路网建模及应用(Road Network Modeling And Application Oriented to Third-Party Logistics Distribution)[J]. 计算机集成制造系统. 2009, 15(9):1765-1769.
28. 倪炎榕*, 范菲雅, 郑宇, 严隽琪, 马登哲. 快速同步响应的网络化产品开发过程规划方法(Research on Process Layout Approach of Networked Product Development with Rapid Synchronous Response)[J]. 计算机集成制造系统, 2006, 12(6): 847-852.
29. 冷乔, 王丽亚*, 赵世雄, 郑宇. 多机串行系统的生产批量与维护计划集成优化(Integrated Optimization of Product Lot and Maintenance Planning in Multi-machine Serial System )[J]. 计算机集成制造系统, 2016, 22(8):1945-1952.