Wei Yan

According to our database, Wei Yan authored at least 16 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A multi-dimensional data integration approach for machining system multi-level energy consumption modeling and prediction.

Yuxuan Chen, Hua Zhang, Wei Yan, Xumei Zhang, Zhigang Jiang, Ying Liu

Int. J. Comput. Integr. Manuf., February, 2026

2025

Correction to: Multi-domain fusion for cargo UAV fault diagnosis knowledge graph construction.

Ao Xiao, Wei Yan, Xumei Zhang, Ying Liu, Hua Zhang, Qi Liu

Auton. Intell. Syst., December, 2025

High-Precision machining energy consumption prediction based on multi-sensor data fusion and Ns-Transformer network.

Meihang Zhang, Hua Zhang, Wei Yan, Zhigang Jiang, Rui Tian

Expert Syst. Appl., 2025

2024

Multi-domain fusion for cargo UAV fault diagnosis knowledge graph construction.

Ao Xiao, Wei Yan, Xumei Zhang, Ying Liu, Hua Zhang, Qi Liu

Auton. Intell. Syst., December, 2024

Multi-objective optimization enabling CFRP energy-efficient milling based on deep reinforcement learning.

Meihang Zhang, Hua Zhang, Wei Yan, Lin Zhang, Zhigang Jiang

Appl. Intell., December, 2024

A rule-driven method for disassembly sequence real-time planning of intelligent mixed-flow disassembly line.

Xin Chen, Shuo Zhu, Zhigang Jiang, Wei Yan, Yanan Wang, Hua Zhang

Comput. Ind. Eng., 2024

2022

An Energy Data-Driven Approach for Operating Status Recognition of Machine Tools Based on Deep Learning.

Wei Yan, Chenxun Lu, Ying Liu, Xumei Zhang, Hua Zhang

Sensors, 2022

A machine learning-based approach for product maintenance prediction with reliability information conversion.

Hua Zhang, Xue He, Wei Yan, Zhigang Jiang, Shuo Zhu

Auton. Intell. Syst., 2022

A service-oriented energy assessment system based on BPMN and machine learning.

Wei Yan, Xinyi Wang, Qingshan Gong, Xumei Zhang, Hua Zhang, Zhigang Jiang

Auton. Intell. Syst., 2022

2021

A hybrid method of blockchain and case-based reasoning for remanufacturing process planning.

Shengqiang Li, Hua Zhang, Wei Yan, Zhigang Jiang

J. Intell. Manuf., 2021

Data-driven method for predicting energy consumption of machine tool spindle acceleration.

Binbin Huang, Guozhang Jiang, Wei Yan, Zhigang Jiang, Chenxun Lu, Hua Zhang

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2019

Kinematic/Dynamic analysis and optimization of a 2-PRU-PPRC 2T1R redundant parallel manipulator with specified workspace.

Hua Shao, Hua Zhang, Wei Yan

Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

2018

Energy consumption prediction model of plane grinder processing system based on BP neural network.

Yan Zhou, Hua Zhang, Wei Yan, Feng Ma, Gongfa Li, Wentao Cheng

Int. J. Wirel. Mob. Comput., 2018

Energy consumption component analysis mathematical model of grinder energy unit.

Yan Zhou, Hua Zhang, Wei Yan, Feng Ma, Gongfa Li, Wenjun Chang

Int. J. Comput. Sci. Math., 2018

2016

A Decision-making Method for Active Remanufacturing Time Based on Environmental and Economic Indicators.

Qin Xiang, Hua Zhang, Zhigang Jiang, Shuo Zhu, Wei Yan

Int. J. Online Eng., 2016

2012

A method for evaluating environmental performance of machining systems.

Zhigang Jiang, Hua Zhang, Wei Yan, Min Zhou, Gongfa Li

Int. J. Comput. Integr. Manuf., 2012