Publications
2024
- Chen, Z., Wan, Y., Liu, Y. and Valera Medina, A. 2024. A knowledge graph-supported information fusion approach for
multi-faceted conceptual modelling. Information Fusion 101, article number: 101985. (10.1016/j.inffus.2023.101985)
2023
- Wan, Y., Chen, Z., Liu, Y., Packianather, M. and Wang, R. 2023. Constructing industrial knowledge graph through ontology and link prediction. Presented at: IEEE International Conference on Automation Science and Engineering (CASE), Auckland, New Zealand, 26-29 August 20232023 IEEE 19th International Conference on Automation Science and Engineering (CASE). IEEE pp. 1-6., (10.1109/CASE56687.2023.10260566)
2022
- Chen, Z. 2022. Data mining for fault diagnosis in steel making process under industry 4.0. PhD Thesis, Cardiff University.
- Wan, Y., Chen, Z., Hu, F., Liu, Y., Packianather, M. and Wang, R. 2022. Exploiting knowledge graph for multi-faceted conceptual modelling using GCN. Presented at: 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2021), Linz, Austria, 17-19 November 2021, Vol. 200. Procedia Computer Science, Vol 200 pp. 1174-1183., (10.1016/j.procs.2022.01.317)
2021
- Chen, Z., Liu, Y., Valera Medina, A. and Robinson, F. 2021. Multi-sourced modelling for strip breakage using knowledge graph embeddings. Presented at: 54th CIRP Conference on Manufacturing Systems (CMS 2021), Virtual, 22-24 September 202154th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0, Vol. 104. Elsevier pp. 1884-1889., (10.1016/j.procir.2021.11.318)
- Yang, J., Chen, Z., Liu, Y. and Ryan, M. 2021. Sliding window filter based strip breakage modelling for failure prediction. Presented at: IEEE 17th International Conference on Automation Science and Engineering (CASE 2021), Lyon, France, 23-27 August 20212021 IEEE 17th International Conference on Automation Science and Engineering (CASE). IEEE pp. 1461-1466., (10.1109/CASE49439.2021.9551660)
- Chen, Z., Liu, Y., Valera-Medina, A., Robinson, F. and Packianather, M. 2021. Multi-faceted modelling for strip breakage in cold rolling using machine learning. International Journal of Production Research 59(21), pp. 6347-6360. (10.1080/00207543.2020.1812753)
2020
- Chen, Z., Liu, Y., Valera Medina, A. and Robinson, F. 2020. A multi-source feature-level fusion approach for predicting strip breakage in cold rolling. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), Virtual, 20-24 August 20202020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE pp. 482-487., (10.1109/CASE48305.2020.9216854)
2019
- Chen, Z., Liu, Y., Valera Medina, A. and Robinson, F. 2019. Characterizing strip snap in cold rolling process using advanced data analytics. Procedia CIRP 81, pp. 453-458. (10.1016/j.procir.2019.03.078)
- Chen, Z., Liu, Y., Valera Medina, A. and Robinson, F. 2019. Strip snap analytics in cold rolling process using machine learning. Presented at: 2019 IEEE 15th International Conference on Automation Science and Engineering, Vancouver, BC, Canada, 22-26 August 2019. pp. -.