Browse by Aston Author

Article

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 ,

Wang, Duo, Zhang, Ming, Xu, Yuchun, Lu, Weining, Yang, Jun and Zhang, Tao (2021). Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions. Mechanical Systems and Signal Processing, 155 ,

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),

Zhang, Ming, Wang, Duo, Lu, Weining, Yang, Jun, Li, Zhiheng and Liang, Bin (2019). A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions. IEEE Access, 7 , 65303 - 65318.

Zhang, Ming, Jiang, Zhinong and Gao, Jinji (2016). Dynamic analysis of integrally geared compressors with varying workloads. Shock and Vibration, 2016 ,

Book Section

Ma, Qianxia, Zhang, Ming, Xu, Yuchun, Song, Jingyan and Zhang, Tao (2021). Remaining Useful Life Estimation for Turbofan Engine with Transformer-based Deep Architecture. IN: 2021 26th International Conference on Automation and Computing (ICAC). IEEE.