Wei Yan

16 papers Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A multi-dimensional data integration approach for machining system multi-level energy consumption modeling and prediction.
Int. J. Comput. Integr. Manuf.
Yuxuan Chen, Hua Zhang, Wei Yan, Xumei Zhang, Zhigang Jiang, Ying Liu
2025 J jnl
Correction to: Multi-domain fusion for cargo UAV fault diagnosis knowledge graph construction.
Auton. Intell. Syst.
Ao Xiao, Wei Yan, Xumei Zhang, Ying Liu, Hua Zhang, Qi Liu
2025 J jnl
High-Precision machining energy consumption prediction based on multi-sensor data fusion and Ns-Transformer network.
Expert Syst. Appl.
Meihang Zhang, Hua Zhang, Wei Yan, Zhigang Jiang, Rui Tian
2024 J jnl
A rule-driven method for disassembly sequence real-time planning of intelligent mixed-flow disassembly line.
Comput. Ind. Eng.
Xin Chen, Shuo Zhu, Zhigang Jiang, Wei Yan, Yanan Wang, Hua Zhang
2024 J jnl
Multi-domain fusion for cargo UAV fault diagnosis knowledge graph construction.
Auton. Intell. Syst.
Ao Xiao, Wei Yan, Xumei Zhang, Ying Liu, Hua Zhang, Qi Liu
2024 J jnl
Multi-objective optimization enabling CFRP energy-efficient milling based on deep reinforcement learning.
Appl. Intell.
Meihang Zhang, Hua Zhang, Wei Yan, Lin Zhang, Zhigang Jiang
2022 J jnl
A machine learning-based approach for product maintenance prediction with reliability information conversion.
Auton. Intell. Syst.
Hua Zhang, Xue He, Wei Yan, Zhigang Jiang, Shuo Zhu
2022 J jnl
A service-oriented energy assessment system based on BPMN and machine learning.
Auton. Intell. Syst.
Wei Yan, Xinyi Wang, Qingshan Gong, Xumei Zhang, Hua Zhang, Zhigang Jiang
2022 J jnl
An Energy Data-Driven Approach for Operating Status Recognition of Machine Tools Based on Deep Learning.
Sensors
Wei Yan, Chenxun Lu, Ying Liu, Xumei Zhang, Hua Zhang
2021 J jnl
A hybrid method of blockchain and case-based reasoning for remanufacturing process planning.
J. Intell. Manuf.
Shengqiang Li, Hua Zhang, Wei Yan, Zhigang Jiang
2021 — conf
Data-driven method for predicting energy consumption of machine tool spindle acceleration.
CASE
Binbin Huang, Guozhang Jiang, Wei Yan, Zhigang Jiang, Chenxun Lu, Hua Zhang
2019 — conf
Kinematic/Dynamic analysis and optimization of a 2-PRU-PPRC 2T1R redundant parallel manipulator with specified workspace.
RCAR
Hua Shao, Hua Zhang, Wei Yan
2018 J jnl
Energy consumption component analysis mathematical model of grinder energy unit.
Int. J. Comput. Sci. Math.
Yan Zhou, Hua Zhang, Wei Yan, Feng Ma, Gongfa Li, Wenjun Chang
2018 J jnl
Energy consumption prediction model of plane grinder processing system based on BP neural network.
Int. J. Wirel. Mob. Comput.
Yan Zhou, Hua Zhang, Wei Yan, Feng Ma, Gongfa Li, Wentao Cheng
2016 J jnl
A Decision-making Method for Active Remanufacturing Time Based on Environmental and Economic Indicators.
Int. J. Online Eng.
Qin Xiang, Hua Zhang, Zhigang Jiang, Shuo Zhu, Wei Yan
2012 J jnl
A method for evaluating environmental performance of machining systems.
Int. J. Comput. Integr. Manuf.
Zhigang Jiang, Hua Zhang, Wei Yan, Min Zhou, Gongfa Li