| Predictive maintenance using cox proportional hazard deep learning C Chen, Y Liu, S Wang, X Sun, C Di Cairano-Gilfedder, S Titmus, ... Advanced Engineering Informatics 44, 101054, 2020 | 73 | 2020 |
| Energy consumption modelling using deep learning embedded semi-supervised learning C Chen, Y Liu, M Kumar, J Qin, Y Ren Computers & Industrial Engineering 135 (757-765), 2019 | 63 | 2019 |
| Energy Consumption Modelling Using Deep Learning Technique—A Case Study of EAF C Chen, Y Liu, M Kumar, J Qin Procedia CIRP 72 (1), 1063-1068, 2018 | 54 | 2018 |
| An integrated deep learning-based approach for automobile maintenance prediction with GIS data C Chen, Y Liu, X Sun, C Di Cairano-Gilfedder, S Titmus Reliability Engineering & System Safety 216, 107919, 2021 | 35 | 2021 |
| Automobile Maintenance Prediction Using Deep Learning with GIS Data C Chen, Y Liu, X Sun, C DiCairano-Gilfedder, S Titmus Procedia CIRP 81, 447-452, 2019 | 34 | 2019 |
| Advances of digital twins for predictive maintenance Y You, C Chen, F Hu, Y Liu, Z Ji | 32 | 2021 |
| Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0 C Chen, T Wang, Y Zheng, Y Liu, H Xie, J Deng, L Cheng Advanced Engineering Informatics 55, 101900, 2023 | 18 | 2023 |
| Compound fault diagnosis for industrial robots based on dual-transformer networks C Chen, C Liu, T Wang, A Zhang, W Wu, L Cheng Journal of Manufacturing Systems 66, 163-178, 2023 | 17 | 2023 |
| Fault diagnosis of industrial robot based on dual-module attention convolutional neural network K Lu, C Chen, T Wang, L Cheng, J Qin Autonomous Intelligent Systems 2 (1), 12, 2022 | 17 | 2022 |
| Extracting topic-sensitive content from textual documents—A hybrid topic model approach Y Liang, Y Liu, C Chen, Z Jiang Engineering Applications of Artificial Intelligence 70, 81-91, 2018 | 16 | 2018 |
| An Attention Enhanced Multi-modal Deep Learning Algorithm for Robotic Compound Fault Diagnosis X Zhou, H Zeng, C Chen, H Xiao, Z Xiang Measurement Science and Technology, 2022 | 14 | 2022 |
| Spatial-attention-based convolutional transformer for bearing remaining useful life prediction C Chen, T Wang, Y Liu, L Cheng, J Qin Measurement Science and Technology 33, 2022 | 13 | 2022 |
| An attention enhanced dilated CNN approach for cross-axis industrial robotics fault diagnosis Y Liu, C Chen, T Wang, L Cheng Autonomous Intelligent Systems 2 (1), 11, 2022 | 11 | 2022 |
| Reliability analysis using deep learning C Chen, Y Liu, X Sun, S Wang, C Di Cairano-Gilfedder, S Titmus, ... International Design Engineering Technical Conferences and Computers and …, 2018 | 11 | 2018 |
| Automobile maintenance modelling using gcforest C Chen, Y Liu, X Sun, C Di Cairano-Gilfedder, S Titmus 2020 IEEE 16th International Conference on Automation Science and …, 2020 | 10 | 2020 |
| Lightweight Convolutional Transformers Enhanced Meta Learning for Compound Fault Diagnosis of Industrial Robot C Chen, T Wang, C Liu, Y Liu, L Cheng IEEE Transactions on Instrumentation and Measurement, 2023 | 7 | 2023 |
| Research on the construction of event logic knowledge graph of supply chain management J Deng, C Chen, X Huang, W Chen, L Cheng Advanced Engineering Informatics 56, 101921, 2023 | 7 | 2023 |
| The advance of digital twin for predictive maintenance: The role and function of machine learning C Chen, H Fu, Y Zheng, F Tao, Y Liu Journal of Manufacturing Systems 71, 581-594, 2023 | 6 | 2023 |
| Deep learning for automobile predictive maintenance under Industry 4.0 C Chen Cardiff University, 2020 | 5 | 2020 |
| Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines Y Zheng, X Bao, F Zhao, C Chen, Y Liu, B Sun, H Wang Journal of Computing and Information Science in Engineering 22 (5), 054501, 2022 | 3 | 2022 |
Ying LiuProfessor and Chair in Intelligent Manufacturing and Group Leader of High-value Manufacturing GroupVerified email at cardiff.ac.uk
