Browse by Aston Author

Amaitik, Nasser, Buckingham, Christopher, Zhang, Ming and Xu, Yuchun (2024). A Fuzzy Synthesis Approach for Hierarchical Decision Analysis to Select Optimum Repair Technique. Procedia CIRP, 126 , pp. 52-57.

Amaitik, Nasser, Zhang, Ming, Xu, Yuchun, Clark, Tony and Bastin, Lucy (2024). Utilising Digital Twins for Smart Maintenance Planning of Fuel Cell in Electric Vehicles. IN: MATEC Web of Conferences. GBR: EDP Sciences.

Amaitik, Nasser, Zhang, Ming, Xu, Yuchun, Thomson, Gareth A., Kolokas, Nikolaos, Maisuradze, Alexander, Peschl, Michael and Tzovaras, Dimitrios (2023). Towards sustainable manufacturing by enabling optimum selection of life extension strategy for industrial equipment based on cost modelling. Journal of Remanufacturing, 13 (3), pp. 263-282.

Zhang, Ming, Wang, Duo, Amaitik, Nasser and Xu, Yuchun (2022). A Distributional Perspective on Remaining Useful Life Prediction with Deep Learning and Quantile Regression. IEEE Open Journal of Instrumentation and Measurement, 1 ,

Zhang, Ming, Lu, Yang, Hu, Youxi, Amaitik, Nasser and Xu, Yuchun (2022). Dynamic Scheduling Method for Job-Shop Manufacturing Systems by Deep Reinforcement Learning with Proximal Policy Optimization. Sustainability, 14 (9),

Zhang, Ming, Amaitik, Nasser, Wang, Zezhong, Xu, Yuchun, Maisuradze, Alexander, Peschl, Michael and Tzovaras, Dimitrios (2022). Predictive Maintenance for Remanufacturing Based on Hybrid-Driven Remaining Useful Life Prediction. Applied Sciences, 12 (7),

Amaitik, Nasser, Zhang, Ming, Wang, Zezhong, Xu, Yuchun, Thomson, Gareth A., Xiao, Yiyong, Kolokas, Nikolaos, Maisuradze, Alexander, Garcia, Oscar, Peschl, Michael and Tzovaras, Dimitrios (2022). Cost Modelling to Support Optimum Selection of Life Extension Strategy for Industrial Equipment in Smart Manufacturing. Circular Economy and Sustainability ,

Zhang, Ming, Amaitik, Nasser, Xu, Yuchun, Rossini, Rosaria, Bosi, Ilaria and Cedola, Ariel Pablo (2021). A New Implementation of Digital Twins for Fault Diagnosis of Large Industrial Equipment. Journal of Robotics and Mechanical Engineering Research, 1 (1),

Amaitik, Nasser M.M. (2018). Developing a Generic Hierarchical Fuzzy Rule-based Methodology for Condition Assessment and Decision Support Applied to Human-based Knowledge Domains: Cases Study of Water Pipes and Mental Health Domains. PHD thesis, Aston University.