Vibration feature extraction using signal processing techniques for structural health monitoring: A review
Structural health monitoring (SHM) has become an important and hot topic for decades in
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …
various fields of civil, mechanical, automotive, and aerospace engineering, etc. Estimating …
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …
service life of civil structures. While successful monitoring provides resolute and staunch …
[HTML][HTML] Deep learning in the construction industry: A review of present status and future innovations
The construction industry is known to be overwhelmed with resource planning, risk
management and logistic challenges which often result in design defects, project delivery …
management and logistic challenges which often result in design defects, project delivery …
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 …
Data-driven structural health monitoring and damage detection through deep learning: State-of-the-art review
Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …
recent technological advancements in sensors, as well as high-speed internet and cloud …
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 …
Damage detection and monitoring in heritage masonry structures: Systematic review
Masonry structures dominate cultural heritage sites worldwide. Public authorities ought to
preserve and safeguard such structures for future generations. However, precise evaluation …
preserve and safeguard such structures for future generations. However, precise evaluation …
[PDF][PDF] A review on deep learning-based structural health monitoring of civil infrastructures
XW Ye, T Jin, CB Yun - Smart Struct. Syst, 2019 - researchgate.net
In the past two decades, structural health monitoring (SHM) systems have been widely
installed on various civil infrastructures for the tracking of the state of their structural health …
installed on various civil infrastructures for the tracking of the state of their structural health …
Deep learning for data anomaly detection and data compression of a long‐span suspension bridge
FT Ni, J Zhang, MN Noori - Computer‐Aided Civil and …, 2020 - Wiley Online Library
As intelligent sensing and sensor network systems have made progress and low‐cost online
structural health monitoring has become possible and widely implemented, large quantities …
structural health monitoring has become possible and widely implemented, large quantities …
Ultrasonic guided wave based structural damage detection and localization using model assisted convolutional and recurrent neural networks
M Rautela, S Gopalakrishnan - Expert Systems with Applications, 2021 - Elsevier
The inverse problem of damage identification involves real-time, continuous observation of
structures to detect any undesired, abnormal behavior and ultrasonic guided waves are …
structures to detect any undesired, abnormal behavior and ultrasonic guided waves are …