Effective structural impact detection and localization using convolutional neural network and Bayesian information fusion with limited sensors DOI
Yuguang Fu, Zixin Wang, Amin Maghareh

et al.

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 224, P. 112074 - 112074

Published: Nov. 12, 2024

Language: Английский

Advances in artificial intelligence for structural health monitoring: A comprehensive review DOI Creative Commons
Billie F. Spencer, Sung‐Han Sim,

Robin E. Kim

et al.

KSCE Journal of Civil Engineering, Journal Year: 2025, Volume and Issue: 29(3), P. 100203 - 100203

Published: Feb. 28, 2025

Language: Английский

Citations

2

Evaluation framework for domain-specific digital twin platforms DOI Creative Commons

Zhao Tang,

Dayuan Zhuang,

Jianjun Zhang

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 27, 2025

As digital twin (DT) applications continue to proliferate across diverse industries, a noticeable gap exists in the availability of evaluation methods or frameworks aid selection and development DT platforms, particularly for Domain-Specific applications. To address this gap, paper proposes comprehensive framework with focus on The uses Best-Worst Method Fuzzy Comprehensive Evaluation method (BWM-FCE) assess performance, user experience, economic effects platforms. proposed is applied case study high-speed train platform compared other AHP(Analytic Hierarchy Process) BWM-SPA (Best-Worst Method-Set Pair Analysis). results demonstrate feasibility effectiveness highlight its potential guiding platforms

Language: Английский

Citations

0

Effective structural impact detection and localization using convolutional neural network and Bayesian information fusion with limited sensors DOI
Yuguang Fu, Zixin Wang, Amin Maghareh

et al.

Mechanical Systems and Signal Processing, Journal Year: 2024, Volume and Issue: 224, P. 112074 - 112074

Published: Nov. 12, 2024

Language: Английский

Citations

1