A digital twin-driven approach for the assembly-commissioning of high precision products X Sun, J Bao, J Li, Y Zhang, S Liu, B Zhou Robotics and Computer-Integrated Manufacturing 61, 101839, 2020 | 137 | 2020 |
A novel knowledge graph-based optimization approach for resource allocation in discrete manufacturing workshops B Zhou, J Bao, J Li, Y Lu, T Liu, Q Zhang Robotics and Computer-Integrated Manufacturing 71, 102160, 2021 | 61 | 2021 |
A knowledge graph-based data representation approach for IIoT-enabled cognitive manufacturing M Liu, X Li, J Li, Y Liu, B Zhou, J Bao Advanced Engineering Informatics 51, 101515, 2022 | 32 | 2022 |
KGAssembly: Knowledge graph-driven assembly process generation and evaluation for complex components B Zhou, J Bao, Z Chen, Y Liu International Journal of Computer Integrated Manufacturing 35 (10-11), 1151-1171, 2021 | 32 | 2021 |
Semantic-aware event link reasoning over industrial knowledge graph embedding time series data B Zhou, X Shen, Y Lu, X Li, B Hua, T Liu, J Bao International Journal of Production Research 61 (12), 411-4134, 2022 | 26 | 2022 |
An end-to-end tabular information-oriented causality event evolutionary knowledge graph for manufacturing documents B Zhou, B Hua, X Gu, Y Lu, T Peng, Y Zheng, X Shen, J Bao Advanced Engineering Informatics 50, 101441, 2021 | 20 | 2021 |
Leveraging on causal knowledge for enhancing the root cause analysis of equipment spot inspection failures B Zhou, J Li, X Li, B Hua, J Bao Advanced Engineering Informatics 54, 101799, 2022 | 9 | 2022 |
Dynamic knowledge modeling and fusion method for custom apparel production process based on knowledge graph X Shen, X Li, B Zhou, Y Jiang, J Bao Advanced Engineering Informatics 55, 101880, 2023 | 7 | 2023 |
BA-IKG: BiLSTM embedded ALBERT for industrial knowledge graph generation and reuse B Zhou, J Bao, Y Liu, D Song 2020 IEEE 18th International Conference on Industrial Informatics (INDIN) 1 …, 2020 | 7 | 2020 |
Dynamic knowledge graph modeling method for ship block manufacturing process S Dengqiang, Z Bin, S Xingwang, BAO Jinsong, Z Yaqin Journal of Shanghai Jiaotong University 55 (5), 544, 2021 | 5 | 2021 |
Digital twin-based scheduling method for marine equipment material transportation vehicles X Shen, S Liu, B Zhou, Y Zheng, J Bao 2022 IEEE 18th International Conference on Automation Science and …, 2022 | 2 | 2022 |
Exploiting a knowledge hypergraph for modeling multi-nary relations in fault diagnosis reports X Li, F Zhang, Q Li, B Zhou, J Bao Advanced Engineering Informatics 57, 102084, 2023 | 1 | 2023 |
Digital Twin-Driven Reinforcement Learning Method for Marine Equipment Vehicles Scheduling Problem X Shen, S Liu, B Zhou, T Wu, Q Zhang, J Bao IEEE Transactions on Automation Science and Engineering, 2023 | 1 | 2023 |
基于图神经网络的工艺表格语义相似性度量 花豹, 周彬, 顾星海, 鲍劲松 计算机集成制造系统, 2022 | 1 | 2022 |
Semantic similarity measurement of process table based on graph neural network B HUA, B ZHOU, X GU, J BAO Computer Integrated Manufacturing System 28 (12), 3805-3821, 2022 | 1 | 2022 |
面向船舶分段制造过程的动态知识图谱建模方法 宋邓强, 周彬, 申兴旺, 鲍劲松, 周亚勤 上海交通大学学报 55 (5), 544, 2021 | 1 | 2021 |
基于超图嵌入的行车故障多元关系知识表示方法 花豹, 周彬, 鲍劲松李心雨 计算机集成制造系统, 1-25, 2023 | | 2023 |
Causal knowledge modeling for root cause analysis of equipment spot-inspection failure B ZHOU, B HUA, Y LU, X LI, J LI, J BAO Computer Integrated Manufacturing System 29 (8), 2708-2721, 2023 | | 2023 |
面向设备点检故障根因分析的因果知识建模方法 周彬, 花豹, 陆玉前, 李心雨, 李婕, 鲍劲松 计算机集成制造系统, 2022 | | 2022 |