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Zhang, Ying, Zhang, Ming, Liu, Chao, Feng, Zhipeng and Xu, Yuchun (2024). Reliability enhancement of state of health assessment model of lithium-ion battery considering the uncertainty with quantile distribution of deep features. Reliability Engineering and System Safety, 245 ,

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.

Yan, Jihong, Zhang, Mingyang and Xu, Yuchun (2023). Multi-Objective Considered Process Parameter Optimization of Welding Robots Based on Small Sample Size Dataset. Sustainability, 15 (20),

Liang, Xiaoxia, Zhang, Ming, Feng, Guojin, Wang, Duo, Xu, Yuchun and Gu, Fengshou (2023). Few-Shot Learning Approaches for Fault Diagnosis Using Vibration Data: A Comprehensive Review. Sustainability, 15 (20),

Zhang, Ming, Sharma, Vikas, Wang, Zezhong, Jia, Yu, Hossain, Abul Kalam and Xu, Yuchun (2023). Online Big-Data Monitoring and Assessment Framework for Internal Combustion Engine with Various Biofuels. International Journal of Automotive Manufacturing and Materials, 2 (2),

Liang, Xiaoxia, Zhang, Ming, Feng, Guojin, Xu, Yuchun, Zhen, Dong and Gu, Fengshou (2023). A Novel Deep Model with Meta-learning for Rolling Bearing Few-shot Fault Diagnosis. Journal of Dynamics, Monitoring and Diagnostics, 2 (2), 102–114.

Zhang, Ming, Sharma, Vikas, Jia, Yu, Hossain, A K and Xu, Yuchun (2023). Data-driven Approach for Condition Assessment of a Diesel Engine Powered with Various Biodiesels. SAE Technical Papers, 2023-0 ,

Hu, Youxi, Liu, Chao, Zhang, Ming, Jia, Yu and Xu, Yuchun (2023). A Novel Simulated Annealing-Based Hyper-Heuristic Algorithm for Stochastic Parallel Disassembly Line Balancing in Smart Remanufacturing. Sensors, 23 (3),

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 ,

Delaney, Emelia, Liu, Wei, Zhu, Zicheng, Xu, Yuchun and Dai, Jian S. (2022). The investigation of environmental sustainability within product design:a critical review. Design Science, 8 ,

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),

Zacharaki, Angeliki, Vafeiadis, Thanasis, Kolokas, Nikolaos, Vaxevani, Aikaterini, Xu, Yuchun, Peschl, Michael, Ioannidis, Dimosthenis and Tzovaras, Dimitrios (2021). RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment. Frontiers in Artificial Intelligence, 3 ,

Xiao, Yiyong, Zhang, Yue, Kulturel-Konak, Sadan, Konak, Abdullah, Xu, Yuchun and Zhou, Shenghan (2021). The aperiodic facility layout problem with time-varying demands and an optimal master-slave solution approach. International Journal of Production Research, 59 (17), pp. 5216-5235.

Xiao, Yiyong, Huang, Changhao, Huang, Jiaoying, Kaku, Ikou and Xu, Yuchun (2019). Optimal mathematical programming and variable neighborhood search for k-modes categorical data clustering. Pattern Recognition, 90 , pp. 183-195.

Xu, Yuchun and Chen, Mu (2018). An Internet of Things based framework to enhance just-in-time manufacturing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 232 (13), pp. 2353-2363.

Durazo-Cardenas, Isidro, Starr, Andrew, Turner, Christopher J., Tiwari, Ashutosh, Kirkwood, Leigh, Bevilacqua, Maurizio, Tsourdos, Antonios, Shehab, Essam, Baguley, Paul, Xu, Yuchun and Emmanouilidis, Christos (2018). An autonomous system for maintenance scheduling data-rich complex infrastructure:Fusing the railways’ condition, planning and cost. Transportation Research Part C: Emerging Technologies, 89 , pp. 234-253.

Almanei, Mohammed, Salonitis, Konstantinos and Xu, Yuchun (2017). Lean Implementation Frameworks:The Challenges for SMEs. Procedia CIRP, 63 , pp. 750-755.

Alefari, Mudhafar, Salonitis, Konstantinos and Xu, Yuchun (2017). The Role of Leadership in Implementing Lean Manufacturing. Procedia CIRP, 63 , pp. 756-761.

Xu, Yuchun and Chen, Mu (2016). Improving Just-in-Time Manufacturing Operations by Using Internet of Things Based Solutions. Procedia CIRP, 56 , pp. 326-331.

Dai, Min, Tang, Dunbing, Xu, Yuchun and Li, Weidong (2015). Energy-aware integrated process planning and scheduling for job shops. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 229 , pp. 13-26.

Xu, Yuchun and Feng, Wei (2014). Develop a cost model to evaluate the economic benefit of remanufacturing based on specific technique. Journal of Remanufacturing, 4 (1),

Xu, Yuchun, Malisetty, Mahesh Kumar and Round, Michael (2013). Configuration management in aerospace industry. Procedia CIRP, 11 , pp. 183-186.

Xu, Y., Elgh, F., Erkoyuncu, J. A., Bankole, O., Goh, Y., Cheung, W. M., Baguley, P., Wang, Q., Arundachawat, P., Shehab, E., Newnes, L. and Roy, R. (2012). Cost engineering for manufacturing:Current and future research. International Journal of Computer Integrated Manufacturing, 25 (4-5), pp. 300-314.

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.

Alduraywish, Yousef, Xu, Yuchun and Salonitis, Konstantinos (2017). State of the art of information systems failure managements. IN: Advances in Manufacturing Technology XXXI, proceedings of the 15th International Conference on Manufacturing Research, ICMR 2017, incorporating the 32nd National Conference on Manufacturing Research. Advances in Transdisciplinary Engineering . GBR: IOS Press BV.

Mgbemena, Chika Edith, Oyekan, John, Tiwari, Ashutosh, Xu, Yuchun, Fletcher, Sarah, Hutabarat, Windo and Prabhu, Vinayak (2016). Gesture Detection Towards Real-Time Ergonomic Analysis for Intelligent Automation Assistance. IN: Advances in Intelligent Systems and Computing. Schlick, C and Trzcieliński, S (eds) Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future . Springer.