Structural health monitoring in aviation: a comprehensive review and future directions for machine learning
Aircraft structures are exposed to a variety of operational and environmental loads that can
cause structural deformation and fractures. Structural Health Monitoring (SHM) has emerged …
cause structural deformation and fractures. Structural Health Monitoring (SHM) has emerged …
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] Real-time defect detection of high-speed train wheels by using Bayesian forecasting and dynamic model
High-speed rail (HSR) is being developed in Asian and European countries to satisfy the
rapidly growing demand for intercity services and to shore up economic growth. The rapid …
rapidly growing demand for intercity services and to shore up economic growth. The rapid …
Modeling and forecasting of temperature-induced strain of a long-span bridge using an improved Bayesian dynamic linear model
Temperature-driven baseline is highly responsive to anomalous structural behavior of long-
span bridges, which means that the discrepancy between the measured and forecasting …
span bridges, which means that the discrepancy between the measured and forecasting …
Bayesian dynamic linear model framework for structural health monitoring data forecasting and missing data imputation during typhoon events
QA Wang, CB Wang, ZG Ma, W Chen… - Structural Health …, 2022 - journals.sagepub.com
A Bayesian dynamic linear model (BDLM) framework for data modeling and forecasting is
proposed to evaluate the performance of an operational cable-stayed bridge, that is, Ting …
proposed to evaluate the performance of an operational cable-stayed bridge, that is, Ting …
A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHM systems
Missing data, especially a block of missing data, inevitably occur in structural health
monitoring systems. Because of their severe negative effects, many methods that use …
monitoring systems. Because of their severe negative effects, many methods that use …
Digital modeling on the nonlinear mapping between multi‐source monitoring data of in‐service bridges
H Zhao, Y Ding, A Li, W Sheng… - Structural Control and …, 2020 - Wiley Online Library
Nonlinear mapping of the fuzzy relation exists between structural inputs and outputs, as well
as between structural global and local response. It is difficult for the numerical simulation to …
as between structural global and local response. It is difficult for the numerical simulation to …
Bayesian dynamic forecasting of structural strain response using structural health monitoring data
Research on structural health monitoring (SHM) is nowadays evolving from SHM‐based
diagnosis towards SHM‐based prognosis. The structural strain response, as a localized …
diagnosis towards SHM‐based prognosis. The structural strain response, as a localized …
Missing data imputation framework for bridge structural health monitoring based on slim generative adversarial networks
S Gao, W Zhao, C Wan, H Jiang, Y Ding, S Xue - Measurement, 2022 - Elsevier
In structural health monitoring (SHM) systems, sensors are important to collect structural
responses to assess the load-resistant capacity and health status of structures. However …
responses to assess the load-resistant capacity and health status of structures. However …
Switching Bayesian dynamic linear model for condition assessment of bridge expansion joints using structural health monitoring data
Age-related deterioration and premature failure have been primary concerns for bridge
expansion joints. It is essential to improve the understanding of their operational …
expansion joints. It is essential to improve the understanding of their operational …