Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019
Structural damage identification has received considerable attention during the past
decades. Although several reviews have been presented, some new developments have …
decades. Although several reviews have been presented, some new developments have …
[HTML][HTML] Structural health monitoring in composite structures: A comprehensive review
This study presents a comprehensive review of the history of research and development of
different damage-detection methods in the realm of composite structures. Different fields of …
different damage-detection methods in the realm of composite structures. Different fields of …
Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …
However, due to limitations of computational ability and data analysis methods, the …
Unsupervised deep learning approach using a deep auto-encoder with a one-class support vector machine to detect damage
This article proposes an unsupervised deep learning–based approach to detect structural
damage. Supervised deep learning methods have been proposed in recent years, but they …
damage. Supervised deep learning methods have been proposed in recent years, but they …
[HTML][HTML] Review on vibration-based structural health monitoring techniques and technical codes
Y Yang, Y Zhang, X Tan - Symmetry, 2021 - mdpi.com
Structural damages occur in modern structures during operations due to environmental and
human factors. The damages accumulating with time may lead to a significant decrease in …
human factors. The damages accumulating with time may lead to a significant decrease in …
Automatic seismic damage identification of reinforced concrete columns from images by a region‐based deep convolutional neural network
This paper proposed a modified faster region‐based convolutional neural network (faster R‐
CNN) for the multitype seismic damage identification and localization (ie, concrete cracking …
CNN) for the multitype seismic damage identification and localization (ie, concrete cracking …
[HTML][HTML] Unsupervised learning methods for data-driven vibration-based structural health monitoring: a review
Structural damage detection using unsupervised learning methods has been a trending
topic in the structural health monitoring (SHM) research community during the past decades …
topic in the structural health monitoring (SHM) research community during the past decades …
[HTML][HTML] Building an effective intrusion detection system using the modified density peak clustering algorithm and deep belief networks
Y Yang, K Zheng, C Wu, X Niu, Y Yang - Applied Sciences, 2019 - mdpi.com
Featured Application The model proposed in this paper can be deployed to the enterprise
gateway, dynamically monitor network activities, and connect with the firewall to protect the …
gateway, dynamically monitor network activities, and connect with the firewall to protect the …
Few-shot GAN: Improving the performance of intelligent fault diagnosis in severe data imbalance
In severe data imbalance scenarios, fault samples are generally scarce, challenging the
health management of industrial machinery significantly. Generative adversarial network …
health management of industrial machinery significantly. Generative adversarial network …
Large‐scale structural health monitoring using composite recurrent neural networks and grid environments
KA Eltouny, X Liang - Computer‐Aided Civil and Infrastructure …, 2023 - Wiley Online Library
The demand for resilient and smart structures has been rapidly increasing in recent
decades. With the occurrence of the big data revolution, research on data‐driven structural …
decades. With the occurrence of the big data revolution, research on data‐driven structural …