A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring
This paper reviews recent advances in sensor technologies for non-destructive testing
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …
The state of the art of artificial intelligence approaches and new technologies in structural health monitoring of bridges
The challenges of urban administration are growing, as the population, automobiles, and
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …
[HTML][HTML] Data anomaly detection for structural health monitoring by multi-view representation based on local binary patterns
Structural health monitoring (SHM) systems provide opportunities to understand the
structural behaviors remotely in real-time. However, anomalous measurement data are …
structural behaviors remotely in real-time. However, anomalous measurement data are …
[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 …
Data Anomaly Detection for Structural Health Monitoring Based on a Convolutional Neural Network
SY Kim, M Mukhiddinov - Sensors, 2023 - mdpi.com
Structural health monitoring (SHM) has been extensively utilized in civil infrastructures for
several decades. The status of civil constructions is monitored in real time using a wide …
several decades. The status of civil constructions is monitored in real time using a wide …
Multiclass anomaly detection of bridge monitoring data with data migration between different bridges for balancing data
C Qu, H Zhang, R Zhang, S Zou, L Huang, H Li - Applied Sciences, 2023 - mdpi.com
Structural health inspection systems are widely used to manage and maintain infrastructure
that involves massive sensor devices. However, these sensors receive the natural …
that involves massive sensor devices. However, these sensors receive the natural …
Development of data anomaly classification for structural health monitoring based on iterative trimmed loss minimization and human-in-the-loop learning
SK Huang, TX Lin - Structural Health Monitoring, 2025 - journals.sagepub.com
Huge amounts of data can be generated during long-term monitoring performed by
structural health monitoring (SHM) and structural integrity management applications …
structural health monitoring (SHM) and structural integrity management applications …
[PDF][PDF] A hybrid deep neural network compression approach enabling edge intelligence for data anomaly detection in smart structural health monitoring systems
This study explores an alternative to the existing centralized process for data anomaly
detection in modern Internet of Things (IoT)-based structural health monitoring (SHM) …
detection in modern Internet of Things (IoT)-based structural health monitoring (SHM) …
Deep learning–based data anomaly detection for highway slope structural health monitoring: A comparative study
S Dong, Z Long, S Zhang, J Wang, C Zuo… - Transportation …, 2025 - Elsevier
Highway slope instability has a significant influence on traffic safety. However, there are
many anomalies in slope SHM data, which is critical to timely warnings and safety …
many anomalies in slope SHM data, which is critical to timely warnings and safety …
Anomaly detection of massive bridge monitoring data through multiple transfer learning with adaptively setting hyperparameters
CX Qu, HM Zhang, TH Yi, ZY Pang, HN Li - Engineering Structures, 2024 - Elsevier
Civil infrastructure relies heavily on structural health monitoring systems. However, these
systems often encounter challenges due to sensor failures and environmental damage …
systems often encounter challenges due to sensor failures and environmental damage …