Review of vibration-based structural health monitoring using deep learning

G Toh, J Park - Applied Sciences, 2020 - mdpi.com
With the rapid progress in the deep learning technology, it is being used for vibration-based
structural health monitoring. When the vibration is used for extracting features for system …

The application of artificial intelligence technology in shipping: A bibliometric review

G Xiao, D Yang, L Xu, J Li, Z Jiang - Journal of Marine Science and …, 2024 - mdpi.com
Artificial intelligence (AI) technologies are increasingly being applied to the shipping
industry to advance its development. In this study, 476 articles published in the Science …

[HTML][HTML] Structural health monitoring of offshore wind turbines: A review through the Statistical Pattern Recognition Paradigm

M Martinez-Luengo, A Kolios, L Wang - Renewable and Sustainable …, 2016 - Elsevier
Offshore Wind has become the most profitable renewable energy source due to the
remarkable development it has experienced in Europe over the last decade. In this paper, a …

Vibration based condition monitoring: a review

EP Carden, P Fanning - Structural health monitoring, 2004 - journals.sagepub.com
Vibration based condition monitoring refers to the use of in situ non-destructive sensing and
analysis of system characteristics–in the time, frequency or modal domains–for the purpose …

Artificial neural networks for vibration based inverse parametric identifications: A review

MS Hossain, ZC Ong, Z Ismail, S Noroozi… - Applied Soft Computing, 2017 - Elsevier
Vibration behavior of any solid structure reveals certain dynamic characteristics and property
parameters of that structure. Inverse problems dealing with vibration response utilize the …

Functionalized composite structures for new generation airframes: a review

L Ye, Y Lu, Z Su, G Meng - Composites science and technology, 2005 - Elsevier
The uncontroversial superiority of functionalized composite structures for new generation
airframes has been well acknowledged by the research community. Such an approach has …

Multi-mode fusion BP neural network model with vibration and acoustic emission signals for process pipeline crack location

L Zhou, P Wang, C Zhang, X Qu, C Gao, Y Xie - Ocean Engineering, 2022 - Elsevier
Vibration fatigue occurs easily in offshore platform pipelines that have been in service for
several years. Timely damage detection and the detection of fatigue cracks are of great …

Ship hull inspection: A survey

B Lin, X Dong - Ocean Engineering, 2023 - Elsevier
To ensure the safety of ship navigation, a regular hull inspection is essential, which can
identify affected structures and guide the appropriate maintenance. Traditional hull …

Detection of bolt load loss in hybrid composite/metal bolted connections

V Caccese, R Mewer, SS Vel - Engineering structures, 2004 - Elsevier
Hybrid composite/metal connections are susceptible to bolt load loss due to viscoelastic
creep and/or environmental effects. Accordingly, the focus of this research is on …

Neural networks in ocean engineering

P Jain, MC Deo - Ships and offshore structures, 2006 - Taylor & Francis
The soft computing technique of neural network is being extensively used across all
disciplines of ocean engineering, namely, offshore, coastal, and deep-ocean engineering …