[HTML][HTML] Long-term health monitoring of concrete and steel bridges under large and missing data by unsupervised meta learning
Long-term monitoring brings an important benefit for health monitoring of civil structures due
to covering all possible unpredictable variations in measured vibration data and providing …
to covering all possible unpredictable variations in measured vibration data and providing …
A comprehensive review of direction-of-arrival estimation and localization approaches in mixed-field sources scenario
Direction-of-arrival (DOA) estimation plays a crucial role in array signal processing across
various domains, including radar, sonar, wireless communications, and seismic exploration …
various domains, including radar, sonar, wireless communications, and seismic exploration …
Early identification of out-of-roundness damage wheels in railway freight vehicles using a wayside system and a stacked sparse autoencoder
T Jorge, J Magalhães, R Silva, A Guedes… - Vehicle System …, 2025 - Taylor & Francis
Early identification of wheel defects can prevent serious damage to railways, considerably
lowering maintenance costs for both railway administrations and rolling stock operators …
lowering maintenance costs for both railway administrations and rolling stock operators …
[HTML][HTML] Data-driven modeling of long temperature time-series to capture the thermal behavior of bridges for SHM purposes
Bridges experience complex heat propagation phenomena that are governed by external
thermal loads, such as solar radiation and air convection, as well as internal factors, such as …
thermal loads, such as solar radiation and air convection, as well as internal factors, such as …
Temperature behavior of cable-stayed bridges. Part I—global 3D temperature distribution by integrating heat-transfer analysis and field monitoring data
Y Shan, L Li, Q **a, W Gao, Q **g… - Advances in Structural …, 2023 - journals.sagepub.com
Varying temperatures significantly affect long-span cable-stayed bridges. However,
quantitative studies on their temperature behaviors are limited. Existing studies focus on 2D …
quantitative studies on their temperature behaviors are limited. Existing studies focus on 2D …
Principal force pattern and impulse response mode for structural equivalent force estimation and full-field response reconstruction
An impulse response mode-based approach is proposed in this study to estimate the
equivalent force and achieve full-field monitoring under complex loading conditions. The …
equivalent force and achieve full-field monitoring under complex loading conditions. The …
Real-time bridge deflection prediction based on a novel Bayesian dynamic difference model and nonstationary data
Accurate deflection prediction of in-service bridges can be used to assess the overall
structural stiffness and detect abnormal states in advance. The bridge structures, especially …
structural stiffness and detect abnormal states in advance. The bridge structures, especially …
Adaptive GMM and OTWD-based structural crack quantification under random load
A challenge for online guided wave-based structural health monitoring is the reliable crack
quantitative evaluation under time varying conditions (TVCs). This paper proposed an …
quantitative evaluation under time varying conditions (TVCs). This paper proposed an …
[HTML][HTML] Few-shot classification for sensor anomalies with limited samples
Structural health monitoring (SHM) systems generate a large amount of sensing data. Data
anomalies may occur due to sensor faults and extreme events. Sensor faults can result in …
anomalies may occur due to sensor faults and extreme events. Sensor faults can result in …
Structural adaptive damage detection under uncertainty based on probability dissimilarity and moving average control chart
For engineering applications of guided-wave-based online structural damage detection,
dealing with uncertainty caused by time-varying conditions (TVCs) is an issue of …
dealing with uncertainty caused by time-varying conditions (TVCs) is an issue of …