Zobrazeno 1 - 10
of 3 410
pro vyhledávání: '"Intelligent Manufacturing"'
Publikováno v:
Industrial Management & Data Systems, 2024, Vol. 124, Issue 11, pp. 3052-3075.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IMDS-05-2023-0277
Design of modified model of intelligent assembly digital twins based on optical fiber sensor network
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 5, Pp 1542-1552 (2024)
Intelligent assembly of large-scale, complex structures using an intelligent manufacturing platform represents the future development direction for industrial manufacturing. During large-scale structural assembly processes, several bottleneck problem
Externí odkaz:
https://doaj.org/article/de252e9d68894adfa69d0ffdfb37ce56
Autor:
Zhaocheng Xu, Ruiqi Pan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Based on the perspective of green technology innovation, this paper takes listed companies in China’s manufacturing industry from 2012 to 2022 as the research sample, and adopts the Driscoll-Kraay standard error method to explore the relat
Externí odkaz:
https://doaj.org/article/769bf17a89024e5297609a3a497166a2
Publikováno v:
Port Said Engineering Research Journal, Vol 28, Iss 3, Pp 103-120 (2024)
In the dynamic landscape of Industry 5.0, this research pioneers an advanced predictive maintenance methodology for a forced blower in PVC powder manufacturing at TCI Sanmar. Leveraging machine learning, this study reveals the Multilayer Perceptron (
Externí odkaz:
https://doaj.org/article/6865b4f103c149f392969d058aec4c93
Publikováno v:
Engineering, Vol 39, Iss , Pp 104-116 (2024)
To equip data-driven dynamic chemical process models with strong interpretability, we develop a light attention–convolution–gate recurrent unit (LACG) architecture with three sub-modules—a basic module, a brand-new light attention module, and a
Externí odkaz:
https://doaj.org/article/febcad22c5c24bcb82795c3fc0081ed1
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract Under the wave of Industry 4.0, traditional pharmaceutical manufacturing enterprises are in urgent need of intelligent manufacturing transformation and upgrading, and exploring the optimal realization path of intelligent manufacturing transf
Externí odkaz:
https://doaj.org/article/3f4936302715479da1c59d86a4ecee89
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract Aiming at the practical teaching of intelligent manufacturing majors faced with lack of equipment, tense teachers and other problems such as high equipment investment, high material loss, high teaching risk, difficult to implement internship
Externí odkaz:
https://doaj.org/article/83b305d457384d3190a00fc4edeadc85
Publikováno v:
Advances in Electrical and Computer Engineering, Vol 24, Iss 2, Pp 21-30 (2024)
Workflow detection is a challenge issue in the process of Industry 4.0, which plays a crucial role in intelligent production. However, it faces the problem of inaccurate phase classification and unclear boundary positioning, which are not well resol
Externí odkaz:
https://doaj.org/article/d77f87bdad8846cd8facace03131ed95
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The advent of Industry 4.0 has significantly promoted the field of intelligent manufacturing, which is facilitated by the development of new technologies are emerging. Robot technology and robot intelligence methods have rapidly developed an
Externí odkaz:
https://doaj.org/article/3042f3b552174463975a685bcfa7ea60
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 5, Pp 190-193 (2024)
Objective In the context of intelligent manufacturing, the MES (manufacturing execution system), targeting the production line execution layer, is a core component of the information management system. With the rapid promotion of lean production mode
Externí odkaz:
https://doaj.org/article/4d1f8f9cb28043f9b410bc591544086f