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Ming Zhang
Ming Zhang
Verified email at aston.ac.uk - Homepage
Title
Cited by
Cited by
Year
Research on variational mode decomposition in rolling bearings fault diagnosis of the multistage centrifugal pump
M Zhang, Z Jiang, K Feng
Mechanical Systems and Signal Processing 93, 460-493, 2017
3472017
Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions
D Wang, M Zhang, Y Xu, W Lu, J Yang, T Zhang
Mechanical Systems and Signal Processing 155, 107510, 2021
1282021
A deep transfer model with wasserstein distance guided multi-adversarial networks for bearing fault diagnosis under different working conditions
M Zhang, D Wang, W Lu, J Yang, Z Li, B Liang
IEEe Access 7, 65303-65318, 2019
1082019
Dynamic scheduling method for job-shop manufacturing systems by deep reinforcement learning with proximal policy optimization
M Zhang, Y Lu, Y Hu, N Amaitik, Y Xu
sustainability 14 (9), 5177, 2022
212022
Predictive maintenance for remanufacturing based on hybrid-driven remaining useful life prediction
M Zhang, N Amaitik, Z Wang, Y Xu, A Maisuradze, M Peschl, D Tzovaras
Applied Sciences 12 (7), 3218, 2022
182022
Remaining useful life estimation for turbofan engine with transformer-based deep architecture
Q Ma, M Zhang, Y Xu, J Song, T Zhang
2021 26th international conference on automation and computing (ICAC), 1-6, 2021
182021
Wasserstein distance guided adversarial imitation learning with reward shape exploration
M Zhang, Y Wang, X Ma, L Xia, J Yang, Z Li, X Li
2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS …, 2020
182020
基于多源信息融合的往复式压缩机故障诊断方法
张明, 江志农
机械工程学报 53 (23), 46-52, 2017
122017
Domain adaptation with multilayer adversarial learning for fault diagnosis of gearbox under multiple operating conditions
M Zhang, W Lu, J Yang, D Wang, L Bin
2019 Prognostics and System Health Management Conference (PHM-Qingdao), 1-6, 2019
112019
A novel simulated annealing-based hyper-heuristic algorithm for stochastic parallel disassembly line balancing in smart remanufacturing
Y Hu, C Liu, M Zhang, Y Jia, Y Xu
Sensors 23 (3), 1652, 2023
82023
Cost modelling to support optimum selection of life extension strategy for industrial equipment in smart manufacturing
N Amaitik, M Zhang, Z Wang, Y Xu, G Thomson, Y Xiao, N Kolokas, ...
Circular Economy and Sustainability 2 (4), 1425-1444, 2022
72022
An early warning method for mechanical fault detection based on adversarial auto-encoders
J Hou, B Ma, L Liang, M Zhang
Journal of Advanced Manufacturing Science and Technology 2 (2), 2022
72022
基于动态自学习阈值和趋势滤波的机械故障智能预警方法
张明, 冯坤, 江志农
振动与冲击 33 (24), 8-14, 2014
72014
A distributional perspective on remaining useful life prediction with deep learning and quantile regression
M Zhang, D Wang, N Amaitik, Y Xu
IEEE Open Journal of Instrumentation and Measurement 1, 1-13, 2022
52022
A novel deep model with meta-learning for rolling bearing few-shot fault diagnosis
X Liang, M Zhang, G Feng, Y Xu, D Zhen, F Gu
Journal of Dynamics, Monitoring and Diagnostics 2 (2), 102-114, 2023
42023
A simulated annealing hyper-heuristic algorithm for process planning and scheduling in remanufacturing
Y Hu, M Zhang, C Liu, Y Xu, Z Wang, Y Jia
2022 27th International Conference on Automation and Computing (ICAC), 1-6, 2022
22022
A Conceptual Framework of Cyber-Physical Remanufacturing System
Y Hu, C Liu, M Zhang, Y Jia, Y Xu
2022 8th International Conference on Nanomanufacturing & 4th AET Symposium …, 2022
22022
Resonance impedance shaping control of hip robotic exoskeleton
T Xue, M Zhang, J Yin, M Zhang, O Bai, Z Wang, T Zhang
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021
22021
A new implementation of digital twins for fault diagnosis of large industrial equipment
M Zhang, N Amaitik, Y Xu, R Rossini, I Bosi, AP Cedola
Journal of Robotics and Mechanical Engineering Research 1 (1), 2021
22021
整体齿轮式离心压缩机复杂系统故障机理及诊治方法研究
张明
北京: 北京化工大学, 2017
22017
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