A review of computer vision–based structural health monitoring at local and global levels
Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …
has gained much attention in the structural health monitoring community in research and …
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 …
Loading condition monitoring of high-strength bolt connections based on physics-guided deep learning of acoustic emission data
Aiming at life-cycle condition monitoring of high-strength bolt connections, a physics-guided
deep learning framework integrating supervised and unsupervised learning was developed …
deep learning framework integrating supervised and unsupervised learning was developed …
Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning
This paper proposes an automatic crack detection, localization, and quantification method
using the integration of a faster region proposal convolutional neural network (Faster R …
using the integration of a faster region proposal convolutional neural network (Faster R …
Real-time multiple damage map** using autonomous UAV and deep faster region-based neural networks for GPS-denied structures
An autonomous unmanned aerial vehicle (UAV) system integrated with a modified faster
region-based convolutional neural network (Faster R-CNN) is proposed to identify various …
region-based convolutional neural network (Faster R-CNN) is proposed to identify various …
[HTML][HTML] Review on smartphone sensing technology for structural health monitoring
Sensing is a critical and inevitable sector of structural health monitoring (SHM). Recently,
smartphone sensing technology has become an emerging, affordable, and effective system …
smartphone sensing technology has become an emerging, affordable, and effective system …
A comprehensive review of loosening detection methods for threaded fasteners
Loosening of threaded fasteners can cause preload decline, induce bolt fatigue fracture, and
severely compromise the reliability of mechanical products. Loosening detection is an …
severely compromise the reliability of mechanical products. Loosening detection is an …
A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning
X Peng, X Zhong, C Zhao, A Chen, T Zhang - Construction and Building …, 2021 - Elsevier
Bridge crack width is an important indicator to assess and evaluate the health condition of
the bridge. In this paper, we have proposed a UAV-based machine vision method for bridge …
the bridge. In this paper, we have proposed a UAV-based machine vision method for bridge …
Quasi-autonomous bolt-loosening detection method using vision-based deep learning and image processing
TC Huynh, JH Park, HJ Jung, JT Kim - Automation in Construction, 2019 - Elsevier
In this study, a quasi-autonomous vision-based method is newly proposed for detecting
loosened bolts in critical connections. The main idea of the approach is to estimate the …
loosened bolts in critical connections. The main idea of the approach is to estimate the …
Monitoring of multi-bolt connection looseness using entropy-based active sensing and genetic algorithm-based least square support vector machine
Looseness detection of bolted connections is an essential industrial issue that can reduce
the maintenance and repair costs caused by joint failures; however, current loosening …
the maintenance and repair costs caused by joint failures; however, current loosening …