Folgen
Baicun Wang
Baicun Wang
Sonstige Namen王柏村, WANG Baicun
Prof. at Zhejiang University, Postdoc at Uni. of Michigan
Bestätigte E-Mail-Adresse bei zju.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Toward new-generation intelligent manufacturing
J Zhou, P Li, Y Zhou, B Wang, J Zang, L Meng
Engineering 4 (1), 11-20, 2018
6212018
Human–cyber–physical systems (HCPSs) in the context of new-generation intelligent manufacturing
J Zhou, Y Zhou, B Wang, J Zang
Engineering 5 (4), 624-636, 2019
3922019
Industry 5.0: Prospect and retrospect
J Leng, W Sha, B Wang, P Zheng, C Zhuang, Q Liu, T Wuest, D Mourtzis, ...
Journal of Manufacturing Systems 65, 279-295, 2022
3852022
Smart manufacturing and intelligent manufacturing: A comparative review
B Wang, F Tao, X Fang, C Liu, Y Liu, T Freiheit
Engineering 7 (6), 738-757, 2021
2962021
Intelligent welding system technologies: State-of-the-art review and perspectives
B Wang, SJ Hu, L Sun, T Freiheit
Journal of Manufacturing Systems 56, 373-391, 2020
2672020
Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution
S Huang, B Wang, X Li, P Zheng, D Mourtzis, L Wang
Journal of manufacturing systems 64, 424-428, 2022
2562022
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
B Wang, P Zheng, Y Yin, A Shih, L Wang
Journal of Manufacturing Systems 63, 471-490, 2022
1412022
Human centric platforms for personalized value creation in metaverse
D Mourtzis, N Panopoulos, J Angelopoulos, B Wang, L Wang
Journal of Manufacturing Systems 65, 653-659, 2022
992022
Deep reinforcement learning in smart manufacturing: A review and prospects
C Li, P Zheng, Y Yin, B Wang, L Wang
CIRP Journal of Manufacturing Science and Technology 40, 75-101, 2023
902023
Emerging nanogenerator technology in China: A review and forecast using integrating bibliometrics, patent analysis and technology roadmapping methods
B Wang, Y Liu, Y Zhou, Z Wen
Nano energy 46, 322-330, 2018
842018
Numerical configuration design and investigation of heat transfer enhancement in pipes filled with gradient porous materials
B Wang, Y Hong, X Hou, Z Xu, P Wang, X Fang, X Ruan
Energy Conversion and Management 105, 206-215, 2015
722015
Human Digital Twin (HDT) Driven Human-cyber-physical systems: Key technologies and applications
B Wang, H Zhou, G Yang, X Li, H Yang
Chinese Journal of Mechanical Engineering, 2022
602022
Online quality inspection of ultrasonic composite welding by combining artificial intelligence technologies with welding process signatures
Y Li, B Yu, B Wang, TH Lee, M Banu
Materials & Design 194, 108912, 2020
582020
Human-centered intelligent manufacturing: overview and perspectives
W Baicun, XUE Yuan, YAN Jianlin, Y Xiaoying, Z Yuan
Strategic Study of CAE 22 (4), 139-146, 2020
56*2020
Intelligent manufacturing systems in COVID-19 pandemic and beyond: framework and impact assessment
X Li, B Wang, C Liu, T Freiheit, BI Epureanu
Chinese Journal of Mechanical Engineering 33, 1-5, 2020
522020
Development and numerical investigation of novel gradient-porous heat sinks
B Wang, Y Hong, L Wang, X Fang, P Wang, Z Xu
Energy Conversion and Management 106, 1370-1378, 2015
492015
Human Digital Twin in the context of Industry 5.0
B Wang, H Zhou, X Li, G Yang, P Zheng, C Song, Y Yuan, T Wuest, ...
Robotics and Computer-Integrated Manufacturing 85, 102626, 2024
442024
A novel RSG-based intelligent bearing fault diagnosis method for motors in high-noise industrial environment
P Lyu, K Zhang, W Yu, B Wang, C Liu
Advanced Engineering Informatics 52, 101564, 2022
442022
Research on new-generation intelligent manufacturing based on human-cyber-physical systems
W Baicun, Z Jiyuan, QU Xianming, D Jingchen, Z Yanhong
Strategic Study of Chinese Academy of Engineering 20 (4), 29-34, 2018
44*2018
Prediction of long-term fatigue life of CFRP composite hydrogen storage vessel based on micromechanics of failure
L Wang, B Wang, S Wei, Y Hong, C Zheng
Composites Part B: Engineering 97, 274-281, 2016
422016
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