Intelligent production line thermal error compensation strategy system based on IoT big data DOI
Huang Huang

2022 International Conference on Electronics and Devices, Computational Science (ICEDCS), Journal Year: 2024, Volume and Issue: unknown, P. 391 - 397

Published: Sept. 23, 2024

Language: Английский

A Wavelet Transform-Based Transfer Learning Approach for Enhanced Shaft Misalignment Diagnosis in Rotating Machinery DOI Open Access
Houssem Habbouche, Tarak Benkedjouh, Yassine Amirat

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(2), P. 341 - 341

Published: Jan. 17, 2025

Rotating machines are vital for ensuring reliability, safety, and operational availability across various industrial sectors. Among the faults that can affect these machines, shaft misalignment is particularly critical due to its impact on other components connected shaft, making it a key focus diagnostic systems. Misalignment lead significant energy losses, therefore, early detection crucial. Vibration analysis an effective method identifying at stage, enabling corrective actions before negatively impacts equipment efficiency consumption. To improve monitoring efficiency, essential system not only intelligent but also capable of operating in real-time. This study proposes methodology diagnosing by combining wavelet transform feature extraction transfer learning fault classification. The accuracy proposed soft real-time solution validated through comparison with time-frequency transformation techniques networks. includes experimental procedure simulating using laser measurement tool. Additionally, evaluates thermal vibration signature each type multi-sensor monitoring, highlighting effectiveness robustness approach. First, used obtain good representation signal domain. step allows features from signals. Then, network processes different layers identify their severity. combination provides decision-support tool faults, monitoring. tested two datasets: first public dataset, while second was created laboratory simulate alignment demonstrate effect this defect imaging. evaluation carried out criteria methodology. results highlight potential implementing faults.

Language: Английский

Citations

2

Applications of dynamic feature selection based on augmented white shark optimizer for medical diagnosis DOI
Malik Braik, Mohammed A. Awadallah, Osama Dorgham

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 257, P. 124973 - 124973

Published: Aug. 6, 2024

Language: Английский

Citations

6

Four-way game analysis of transformation and upgrading of manufacturing enterprises relying on industrial internet platform under developers’ participation DOI Creative Commons
Y.G. Li,

Ruiyuan Cong,

Keyong Zhang

et al.

Journal of Asian Architecture and Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: Dec. 4, 2024

The construction of the industrial Internet platform is key to digital, networked and intelligent transformation innovation manufacturing industry. At present, there are some limitations in research on mechanism with participation developers. It fails consider reasonable benefit sharing coefficient influence decision-making process form strength government support. Therefore, a four party dynamic interactive evolutionary game model based logical framework "government enterprise developer" was constructed, strategic choices parties building an collaboration were analyzed depth, influencing factors each simulated. results indicate that subsidies penalties affect enterprises, platforms, A revenue contract can ensure long-term cooperation stable development between In addition, effective range promote evolution system different states defined, which provides theoretical basis for governments developers choose strategies.

Language: Английский

Citations

6

Rethinking asymmetric image deformation with post-correction for particle image velocimetry DOI
Jia Ai, Zuobing Chen, Junjie Li

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(1)

Published: Jan. 1, 2025

Symmetric image deformation has been considered as the only method for achieving second-order accuracy in particle velocimetry (PIV). However, two deformed images with interpolation errors might lead to a doubling of measurement uncertainty. Alternatively, this work proposed post-correction (FDI2CDI) correct velocity results asymmetric accuracy, aiming at reducing random error because one is required. Specifically, implicit geometric relationship between forward difference interrogation (FDI) and symmetric central (CDI) derived. And correction problem thus modeled fixed-point problem, which solved using iterative updates. Tested on several synthetic fields, massive pairs, captured recordings, our FDI2CDI demonstrates fast convergence, noise robustness, significant improvement accuracy. Besides, also exhibits strong generalizability across different one-pass displacement estimators, shown through experiments optical flow cross correlation. In addition, we provide publicly available repository FDI2CDI, including all reported interested practitioners. summary, revitalizes more accurate PIV measurement.

Language: Английский

Citations

0

A Systematic Review of Emerging Industry 5.0 Technologies: Enhancing Agile Manufacturing for Sustainability DOI
Ruby Pant, Rajesh K. Singh, Anita Gehlot

et al.

Operations Research Forum, Journal Year: 2025, Volume and Issue: 6(1)

Published: Feb. 20, 2025

Language: Английский

Citations

0

A dynamically updatable knowledge graph construction method for computer-aided process planning and design DOI
En Xia Zhang, Shengwen Zhang,

Jia-Le Jia

et al.

Journal of Engineering Design, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34

Published: Feb. 20, 2025

Language: Английский

Citations

0

Enhancing Production Efficiency and Sustainability Through Smart Manufacturing DOI
Kali Charan Rath, Lakshmi Prasad Panda, Subhendu Kumar Rath

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 11 - 32

Published: Feb. 28, 2025

This chapter presents a comprehensive framework aimed at bolstering production efficiency and sustainability by implementing smart manufacturing technologies. The objective of this is to address the contemporary challenges faced industrial sectors leveraging cutting-edge automation, data analysis, Robotics, Artificial Intelligence (AI) technology Internet Things (IoT) solutions optimize processes, minimize resource wastage, provide good supply chain management system. scope study encompasses various facets manufacturing, including predictive maintenance, real-time monitoring, adaptive control systems, with focus on enhancing productivity while concurrently fostering ecological sustainability. novelty lies in integration advanced automation systems create an intelligent ecosystem capable dynamic adaptation changing conditions, thereby paving way for more efficient environmentally friendly landscape.

Language: Английский

Citations

0

A Lightweight and Efficient ECDSA Core for FPGA-Based Edge-AI Platforms DOI
Cuong Pham‐Quoc

Communications in computer and information science, Journal Year: 2025, Volume and Issue: unknown, P. 342 - 355

Published: Jan. 1, 2025

Language: Английский

Citations

0

Evaluating Smart Manufacturing Projects – An Activity-Based Costing Approach DOI
Kung‐Jeng Wang, Melissa T. A. Simarmata

Engineering Management Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: March 24, 2025

Language: Английский

Citations

0

INVITED: Optimizing IoT Node Design for Edge Computing Applications DOI
Irida Shallari

Published: April 23, 2025

Language: Английский

Citations

0