ArticleSensors (Basel, Switzerland)2018
Image Registration-Based Bolt Loosening Detection of Steel Joints.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Biomechanical stability and monitoring technologies of implant-supported prosthetic components.Journal of clinical and experimental dentistry · 2026Article
- Physics-guided resampling and asymmetric fusion for ultra-high-frequency bolt-loosening detection.Scientific reports · 2026Article
- Digital Image Correlation-Based Bolt Preload Monitoring.Sensors (Basel, Switzerland) · 2026Article
- Anti-loosening bolt looseness diagnosis method for flange node based on quick response code.Scientific reports · 2025Article
- Real-time detection of loosening torque in bolted joints using piezoresistive pressure-sensitive layer based on multi-walled carbon nanotubes reinforced epoxy nanocomposites.Scientific reports · 2025Article
- A review of recent advances in data-driven computer vision methods for structural damage evaluation: algorithms, applications, challenges, and future opportunities.Archives of computational methods in engineering : state of the art reviews · 2025Review
- Early Bolt Loosening Detection Method Based on Digital Image Correlation.Sensors (Basel, Switzerland) · 2024Article
- A novel anti-loosening bolt looseness diagnosis of bolt connections using a vision-based technique.Scientific reports · 2024Article
- Review of Image-Processing-Based Technology for Structural Health Monitoring of Civil Infrastructures.Journal of imaging · 2024Review
- Diagnostics of Bolted Joints in Vibrating Screens Based on a Multi-Body Dynamical Model.Materials (Basel, Switzerland) · 2023Article
- Scattered Train Bolt Point Cloud Segmentation Based on Hierarchical Multi-Scale Feature Learning.Sensors (Basel, Switzerland) · 2023Article
- Loosening Identification of Multi-Bolt Connections Based on Wavelet Transform and ResNet-50 Convolutional Neural Network.Sensors (Basel, Switzerland) · 2022Article
- Structural engineering from an inverse problems perspective.Proceedings. Mathematical, physical, and engineering sciences · 2022Review
- Vibration-Based Diagnostics of Radial Clearances and Bolts Loosening in the Bearing Supports of the Heavy-Duty Gearboxes.Sensors (Basel, Switzerland) · 2020Article
- Monitoring of Corroded and Loosened Bolts in Steel Structures via Deep Learning and Hough Transforms.Sensors (Basel, Switzerland) · 2020Article
- Bolt-Loosening Monitoring Framework Using an Image-Based Deep Learning and Graphical Model.Sensors (Basel, Switzerland) · 2020Article
- Damage Detection of Common Timber Connections Using Piezoceramic Transducers and Active Sensing.Sensors (Basel, Switzerland) · 2019Article
- Research on Recognition Technology of Aluminum Profile Surface Defects Based on Deep Learning.Materials (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Self-loosening of bolts caused by repetitive loads and vibrations is one of the common defects that can weaken the structural integrity of bolted steel joints in civil structures. Many existing approaches for detecting loosening bolts are based on physical sensors and, hence, require extensive sensor deployment, which limit their abilities to cost-effectively detect loosened bolts in a large number of steel joints. Recently, computer vision-based structural health monitoring (SHM) technologies have demonstrated great potential for damage detection due to the benefits of being low cost, easy to deploy, and contactless. In this study, we propose a vision-based non-contact bolt loosening detection method that uses a consumer-grade digital camera. Two images of the monitored steel joint are first collected during different inspection periods and then aligned through two image registration processes. If the bolt experiences rotation between inspections, it will introduce differential features in the registration errors, serving as a good indicator for bolt loosening detection. The performance and robustness of this approach have been validated through a series of experimental investigations using three laboratory setups including a gusset plate on a cross frame, a column flange, and a girder web. The bolt loosening detection results are presented for easy interpretation such that informed decisions can be made about the detected loosened bolts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.