Mobile and wearable sensors for data-driven health monitoring system: State-of-the-art and future prospect

CV Anikwe, HF Nweke, AC Ikegwu… - Expert Systems with …, 2022 - Elsevier
Mobile and wearable devices embedded with multiple sensors for health monitoring and
disease diagnosis are growing fields with the potential to provide efficient means for remote …

A comprehensive review of loosening detection methods for threaded fasteners

J Huang, J Liu, H Gong, X Deng - Mechanical Systems and Signal …, 2022 - Elsevier
Loosening of threaded fasteners can cause preload decline, induce bolt fatigue fracture, and
severely compromise the reliability of mechanical products. Loosening detection is an …

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 …

A review of bolt tightening force measurement and loosening detection

R Miao, R Shen, S Zhang, S Xue - Sensors, 2020 - mdpi.com
Pre-stressed bolted joints are widely used in civil structures and industries. The tightening
force of a bolt is crucial to the reliability of the joint connection. Loosening or over-tightening …

Detection of subsurface voids in concrete-filled steel tubular (CFST) structure using percussion approach

D Chen, V Montano, L Huo, S Fan, G Song - Construction and Building …, 2020 - Elsevier
Concrete-filled steel tubular (CFST) structures are essential load-bearing components in
many civil engineering structures. Subsurface voids between the contacting surface of the …

Bolt-loosening monitoring framework using an image-based deep learning and graphical model

HC Pham, QB Ta, JT Kim, DD Ho, XL Tran, TC Huynh - Sensors, 2020 - mdpi.com
In this study, we investigate a novel idea of using synthetic images of bolts which are
generated from a graphical model to train a deep learning model for loosened bolt detection …

Bolt preload measurement based on the acoustoelastic effect using smart piezoelectric bolt

Q Sun, B Yuan, X Mu, W Sun - Smart Materials and Structures, 2019 - iopscience.iop.org
Precise measurement of bolt preload force is particularly important in the assembly process
of aviation equipment, which is directly related to the normal working performance and …

Bond-slip monitoring of concrete structures using smart sensors—A review

L Huo, H Cheng, Q Kong, X Chen - Sensors, 2019 - mdpi.com
Concrete structures with various reinforcements, such as steel bars, composite material
tendons, and recently steel plates, are commonly used in civil infrastructures. When an …

Depth detection of subsurface voids in concrete-filled steel tubular (CFST) structure using percussion and decision tree

D Chen, V Montano, L Huo, G Song - Measurement, 2020 - Elsevier
The void defects significantly threaten the integrity of concrete-filled steel tubular (CFST)
structure. Along with detecting the presence of subsurface voids, the knowledge of the …

Piezoelectric impedance-based structural health monitoring of wind turbine structures: Current status and future perspectives

TC Le, THT Luu, HP Nguyen, TH Nguyen, DD Ho… - Energies, 2022 - mdpi.com
As an innovative technology, the impedance-based technique has been extensively studied
for the structural health monitoring (SHM) of various civil structures. The technique's …