Emerging artificial intelligence methods in structural engineering
H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …
modeling techniques. AI refers to the branch of computer science that develops machines …
[HTML][HTML] Total process of fault diagnosis for wind turbine gearbox, from the perspective of combination with feature extraction and machine learning: A review
X Xu, X Huang, H Bian, J Wu, C Liang, F Cong - Energy and AI, 2024 - Elsevier
With the increasing of the installed capacity of wind power, the condition monitoring and
maintains technique is becoming more important. Wind Turbines (WT) gearbox is one of the …
maintains technique is becoming more important. Wind Turbines (WT) gearbox is one of the …
Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring
Structural health monitoring (SHM) is used worldwide for managing and maintaining civil
infrastructures. SHM systems have produced huge amounts of data, but the effective …
infrastructures. SHM systems have produced huge amounts of data, but the effective …
Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades
This paper proposes and tests a sequence-based modeling of deep learning (DL) for
structural damage detection of floating offshore wind turbine (FOWT) blades using Long …
structural damage detection of floating offshore wind turbine (FOWT) blades using Long …
A secure system for pervasive social network-based healthcare
Modern technologies of mobile computing and wireless sensing prompt the concept of
pervasive social network (PSN)-based healthcare. To realize the concept, the core problem …
pervasive social network (PSN)-based healthcare. To realize the concept, the core problem …
SHM under varying environmental conditions: An approach based on model order reduction and deep learning
Data-driven approaches to structural health monitoring (SHM) have been recently shown to
be a powerful paradigm, helping to lead to an evolution of traditional scheduled-based …
be a powerful paradigm, helping to lead to an evolution of traditional scheduled-based …
[HTML][HTML] Recent advances in wireless sensor networks for structural health monitoring of civil infrastructure
Abstract Wireless Smart Sensor Networks (WSSN) have seen significant advancements in
recent years. They act as a core part of structural health monitoring (SHM) systems by …
recent years. They act as a core part of structural health monitoring (SHM) systems by …
[PDF][PDF] 机械结构健康监测综述
房芳， 郑辉， 汪玉， 邱雷 - 机械工程学报, 2021 - qikan.cmes.org
随着我国航空航天飞行器, 高速列车, 核电风电及舰船深潜等机械装备技术的发展,
机械结构的高效快速运维对保障机械装备的高性能, 高可靠性运转至关重要 …
机械结构的高效快速运维对保障机械装备的高性能, 高可靠性运转至关重要 …
A new open‐database benchmark structure for vibration‐based Structural Health Monitoring
Abstract Vibration‐based Structural Health Monitoring is an ongoing field of research in
many engineering disciplines. As for civil engineering, plenty of experimental structures …
many engineering disciplines. As for civil engineering, plenty of experimental structures …
Condition monitoring systems: a systematic literature review on machine-learning methods improving offshore-wind turbine operational management
IM Black, M Richmond, A Kolios - International Journal of …, 2021 - Taylor & Francis
Information is key. Offshore wind farms are installed with supervisory control and data
acquisition systems (SCADA) gathering valuable information. Determining the precise …
acquisition systems (SCADA) gathering valuable information. Determining the precise …