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Number of items: 11.

Chen, Chong, Fu, Huibin, Zheng, Yu, Tao, Fei and Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 2023. The advance of digital twin for predictive maintenance: The role and function of machine learning. Journal of Manufacturing Systems 71 , pp. 581-594. 10.1016/j.jmsy.2023.10.010
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Chen, Chong, Wu, Dazhong and Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 2022. Recent advances of AI for engineering service and maintenance. Autonomous Intelligent Systems 2 (1) , 19. 10.1007/s43684-022-00038-y
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You, Yingchao, Chen, Chong, Hu, Fu, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940 and Ji, Ze ORCID: https://orcid.org/0000-0002-8968-9902 2022. Advances of digital twins for predictive maintenance. 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. 1471-1480. 10.1016/j.procs.2022.01.348
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Chen, Chong, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Sun, Xianfang, Cairano-Gilfedder, Carla Di and Titmus, Scott 2021. An integrated deep learning-based approach for automobile maintenance prediction with GIS data. Reliability Engineering and System Safety 216 , 107919. 10.1016/j.ress.2021.107919
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Chen, Chong, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Di Cairano-Gilfedder, Carla and Titmus, Scott 2020. Automobile maintenance modelling using gcForest. Presented at: 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), Virtual, 20-24 August 2020. 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 600-605. 10.1109/CASE48305.2020.9216745
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Chen, Chong 2020. Deep learning for automobile predictive maintenance under Industry 4.0. PhD Thesis, Cardiff University.
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Chen, Chong, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Wang, Shixuan, Di Cairano-Gilfedder, Carla, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Titmus, Scott and Syntetos, Aris A. ORCID: https://orcid.org/0000-0003-4639-0756 2020. Predictive maintenance using cox proportional hazard deep learning. Advanced Engineering Informatics 44 , 101054. 10.1016/j.aei.2020.101054
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Chen, Chong, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Kumar, Maneesh ORCID: https://orcid.org/0000-0002-2469-1382, Qin, Jian and Ren, Yunxia 2019. Energy consumption modelling using deep learning embedded semi-supervised learning. Computers and Industrial Engineering 135 , pp. 757-765. 10.1016/j.cie.2019.06.052
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Chen, Chong, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Cairano-Gilfedder, Carla and Titmus, Scott 2019. Automobile maintenance prediction using deep learning with GIS data. Procedia CIRP 81 , -. 10.1016/j.procir.2019.03.077
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Chen, Chong, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Kumar, Maneesh ORCID: https://orcid.org/0000-0002-2469-1382 and Qin, Jian 2018. Energy consumption modelling using deep learning technique — a case study of EAF. Procedia CIRP 72 , pp. 1063-1068. 10.1016/j.procir.2018.03.095
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Chen, Chong, Liu, Ying ORCID: https://orcid.org/0000-0001-9319-5940, Sun, Xianfang ORCID: https://orcid.org/0000-0002-6114-0766, Wang, Shixuan, Di Cairano-Gilfedder, Carla, Titmus, Scott and Syntetos, Aris ORCID: https://orcid.org/0000-0003-4639-0756 2018. Reliability analysis using deep learning. Presented at: ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Quebec City, Canada, 26-29 August 2018. ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Volume 1B: 38th Computers and Information in Engineering Conference Quebec City, Quebec, Canada, August 26–29, 2018. ASME, V01BT02A040. 10.1115/DETC2018-86172

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