Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Browse by Current Cardiff authors

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Number of items: 9.

Chen, Chong, Liu, Ying, 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
Item availability restricted.
file

You, Yingchao, Chen, Chong, Hu, Fu, Liu, Ying and Ji, Ze 2021. 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.
Item availability restricted.
file

Chen, Chong, Liu, Ying, Sun, Xianfang, 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
file

Chen, Chong 2020. Deep learning for automobile predictive maintenance under Industry 4.0. PhD Thesis, Cardiff University.
Item availability restricted.
filefile

Chen, Chong, Liu, Ying, Wang, Shixuan, Di Cairano-Gilfedder, Carla, Sun, Xianfang, Titmus, Scott and Syntetos, Aris A. 2020. Predictive maintenance using cox proportional hazard deep learning. Advanced Engineering Informatics 44 , 101054. 10.1016/j.aei.2020.101054
file

Chen, Chong, Liu, Ying, Kumar, Maneesh, 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
file

Chen, Chong, Liu, Ying, Sun, Xianfang, 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
file

Chen, Chong, Liu, Ying, Kumar, Maneesh 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
file

Chen, Chong, Liu, Ying, Sun, Xianfang, Wang, Shixuan, Di Cairano-Gilfedder, Carla, Titmus, Scott and Syntetos, Aris 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

This list was generated on Tue Oct 19 04:40:44 2021 BST.