Multi-faceted modelling for strip breakage in cold rolling using machine learning Z Chen, Y Liu, A Valera-Medina, F Robinson, M Packianather International Journal of Production Research 59 (21), 6347-6360, 2021 | 16 | 2021 |
Characterizing strip snap in cold rolling process using advanced data analytics Z Chen, Y Liu, A Valera-Medina, F Robinson Procedia CIRP 81, 453-458, 2019 | 10 | 2019 |
Exploiting knowledge graph for multi-faceted conceptual modelling using GCN Y Wan, Z Chen, F Hu, Y Liu, M Packianather, R Wang Procedia Computer Science 200, 1174-1183, 2022 | 9 | 2022 |
Strip snap analytics in cold rolling process using machine learning Z Chen, Y Liu, A Valera-Medina, F Robinson 2019 IEEE 15th International Conference on Automation Science and …, 2019 | 7 | 2019 |
Multi-sourced modelling for strip breakage using knowledge graph embeddings Z Chen, Y Liu, A Valera-Medina, F Robinson Procedia CIRP 104, 1884-1889, 2021 | 6 | 2021 |
A multi-source feature-level fusion approach for predicting strip breakage in cold rolling Z Chen, Y Liu, A Valera-Medina, F Robinson 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 5 | 2020 |
A knowledge graph-supported information fusion approach for multi-faceted conceptual modelling Z Chen, Y Wan, Y Liu, A Valera-Medina Information Fusion 101, 101985, 2024 | 3 | 2024 |
Sliding window filter based strip breakage modelling for failure prediction J Yang, Z Chen, Y Liu, M Ryan 2021 IEEE 17th International Conference on Automation Science and …, 2021 | 2 | 2021 |
Data mining for fault diagnosis in steel making process under industry 4.0 Z Chen Cardiff University, 2022 | 1 | 2022 |
Constructing industrial knowledge graph through ontology and link prediction Y Wan, Z Chen, Y Liu, M Packianather, R Wang 2023 IEEE 19th International Conference on Automation Science and …, 2023 | | 2023 |