Towards intelligent welding systems from a HCPS perspective: A technology framework and implementation roadmap
出版年份 2022 全文链接
标题
Towards intelligent welding systems from a HCPS perspective: A technology framework and implementation roadmap
作者
关键词
-
出版物
JOURNAL OF MANUFACTURING SYSTEMS
Volume 65, Issue -, Pages 244-259
出版商
Elsevier BV
发表日期
2022-09-30
DOI
10.1016/j.jmsy.2022.09.012
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
- (2022) Baicun Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Application of sensing technology in intelligent robotic arc welding: A review
- (2022) Fengjing Xu et al. Journal of Manufacturing Processes
- Adaptive Intelligent Welding Manufacturing
- (2021) YUMING ZHANG et al. WELDING JOURNAL
- Online tool condition monitoring for ultrasonic metal welding via sensor fusion and machine learning
- (2021) Qasim Nazir et al. Journal of Manufacturing Processes
- Early event detection in a deep-learning driven quality prediction model for ultrasonic welding
- (2021) Baicun Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Secure sharing of big digital twin data for smart manufacturing based on blockchain
- (2021) Weidong Shen et al. JOURNAL OF MANUFACTURING SYSTEMS
- The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing
- (2021) Konstantinos Traganos et al. JOURNAL OF MANUFACTURING SYSTEMS
- End-to-end prediction of weld penetration: A deep learning and transfer learning based method
- (2020) Wenhua Jiao et al. Journal of Manufacturing Processes
- A tutorial on deep learning-based data analytics in manufacturing through a welding case study
- (2020) Qiyue Wang et al. Journal of Manufacturing Processes
- Intelligent welding system technologies: State-of-the-art review and perspectives
- (2020) Baicun Wang et al. JOURNAL OF MANUFACTURING SYSTEMS
- Workforce reconfiguration strategies in manufacturing systems: a state of the art
- (2020) S. Ehsan Hashemi-Petroodi et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system
- (2020) Chunyang Xia et al. JOURNAL OF MANUFACTURING SYSTEMS
- Smart Manufacturing and Intelligent Manufacturing: A Comparative Review
- (2020) Baicun Wang et al. Engineering
- Profile Monitoring and Fault Diagnosis via Sensor Fusion for Ultrasonic Welding
- (2019) Weihong (Grace) Guo et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Machine learning of weld joint penetration from weld pool surface using support vector regression
- (2019) Rong Liang et al. Journal of Manufacturing Processes
- From a literature review to a conceptual framework of enablers for smart manufacturing control
- (2019) Rafael A. Rojas et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A method for identification and sequence optimisation of geometry spot welds in a digital twin context
- (2019) Roham Sadeghi Tabar et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
- Spot welding robot path planning using intelligent algorithm
- (2019) Xuewu Wang et al. Journal of Manufacturing Processes
- Current research and future perspectives on human factors and ergonomics in Industry 4.0
- (2019) Bzhwen A. Kadir et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
- (2019) Yuqian Lu et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Virtual reality human-robot collaborative welding: A case study of weaving gas tungsten arc welding
- (2019) Qiyue Wang et al. Journal of Manufacturing Processes
- Improving process robustness in ultrasonic metal welding of lithium-ion batteries
- (2018) Lihang Nong et al. JOURNAL OF MANUFACTURING SYSTEMS
- Data-driven smart manufacturing
- (2018) Fei Tao et al. JOURNAL OF MANUFACTURING SYSTEMS
- Emerging nanogenerator technology in China: A review and forecast using integrating bibliometrics, patent analysis and technology roadmapping methods
- (2018) Baicun Wang et al. Nano Energy
- Smart manufacturing standardization: Architectures, reference models and standards framework
- (2018) Qing Li et al. COMPUTERS IN INDUSTRY
- An intelligent weld control strategy based on reinforcement learning approach
- (2018) Zeshi Jin et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs)
- (2018) Sameer Mittal et al. JOURNAL OF MANUFACTURING SYSTEMS
- A review on sensor based monitoring and control of friction stir welding process and a roadmap to Industry 4.0
- (2018) Debasish Mishra et al. Journal of Manufacturing Processes
- Advances in weld seam tracking techniques for robotic welding: A review
- (2018) Amruta Rout et al. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
- Quality assessment in laser welding: a critical review
- (2017) John Stavridis et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Fusing machine algorithm with welder intelligence for adaptive welding robots
- (2017) YuKang Liu et al. Journal of Manufacturing Processes
- Online process monitoring with near-zero misdetection for ultrasonic welding of lithium-ion batteries: An integration of univariate and multivariate methods
- (2016) Weihong Guo et al. JOURNAL OF MANUFACTURING SYSTEMS
- Multi-sensor information fusion for monitoring disk laser welding
- (2015) Xiangdong Gao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Ultrasound in arc welding: A review
- (2015) Tiago Vieira da Cunha et al. ULTRASONICS
- Review of laser welding monitoring
- (2013) D. Y. You et al. SCIENCE AND TECHNOLOGY OF WELDING AND JOINING
- Research evolution on intelligentized technologies for arc welding process
- (2013) S.B. Chen et al. Journal of Manufacturing Processes
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