State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
Recent advancement of concrete dam health monitoring technology: A systematic literature review
The health monitoring of dams has become a topic of paramount importance to maintain the
sustainability and resiliency of our society. The dam health monitoring (DHM) models …
sustainability and resiliency of our society. The dam health monitoring (DHM) models …
Bayesian dynamic regression for reconstructing missing data in structural health monitoring
Massive data that provide valuable information regarding the structural behavior are
continuously collected by the structural health monitoring (SHM) system. The quality of …
continuously collected by the structural health monitoring (SHM) system. The quality of …
Sparse Gaussian process regression for multi-step ahead forecasting of wind gusts combining numerical weather predictions and on-site measurements
Accurate forecasts of wind gusts are crucially important for wind power generation, severe
weather warnings, and the regulation of vehicle speed. To improve the short-term and long …
weather warnings, and the regulation of vehicle speed. To improve the short-term and long …
Bayesian multiple linear regression and new modeling paradigm for structural deflection robust to data time lag and abnormal signal
H Zhao, Y Ding, L Meng, Z Qin, F Yang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Long-span bridges are the lifeline throats of urban transportation network. Deflection (ie,
deformation) behavior of long-span bridges is complex. It can be found from long-term …
deformation) behavior of long-span bridges is complex. It can be found from long-term …
[HTML][HTML] Abnormal data detection for structural health monitoring: State-of-the-art review
Structural health monitoring (SHM) is widely used to monitor and assess the condition and
performance of engineering structures such as, buildings, bridges, dams, and tunnels …
performance of engineering structures such as, buildings, bridges, dams, and tunnels …
Machine learning-assisted improved anomaly detection for structural health monitoring
The importance of civil engineering infrastructure in modern societies has increased lately
due to the growth of the global economy. It forges global supply chains facilitating enormous …
due to the growth of the global economy. It forges global supply chains facilitating enormous …
Uncertainty‐aware convolutional neural network for explainable artificial intelligence‐assisted disaster damage assessment
CS Cheng, AH Behzadan… - Structural Control and …, 2022 - Wiley Online Library
Accurate damage assessment is a critical step in post‐disaster risk assessment, mitigation,
and recovery. Current practices performed by experts and reconnaissance teams in the form …
and recovery. Current practices performed by experts and reconnaissance teams in the form …
A general data quality evaluation framework for dynamic response monitoring of long-span bridges
The structural health monitoring system (SHM) of long-span bridges inevitably produces low-
quality data. It is important to evaluate the data quality and screen out normal data. Most …
quality data. It is important to evaluate the data quality and screen out normal data. Most …
Monitoring-based analysis of wind-induced vibrations of ultra-long stay cables during an exceptional wind event
Ultra-long stay cables characterized as high flexibility are prone to large-amplitude
vibrations. Much attention has been paid to the vibrations of stay cables under normal wind …
vibrations. Much attention has been paid to the vibrations of stay cables under normal wind …