Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
On top of machine learning (ML) models, uncertainty quantification (UQ) functions as an
essential layer of safety assurance that could lead to more principled decision making by …
essential layer of safety assurance that could lead to more principled decision making by …
A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives
As an emerging technology in the era of Industry 4.0, digital twin is gaining unprecedented
attention because of its promise to further optimize process design, quality control, health …
attention because of its promise to further optimize process design, quality control, health …
[HTML][HTML] A systematic literature review of predictive maintenance for defence fixed-wing aircraft sustainment and operations
In recent decades, the increased use of sensor technologies, as well as the increase in
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …
Bridge Performance Prediction Based on a Novel SHM‐Data Assimilation Approach considering Cyclicity
Modern bridges are monitored by an increasing network of sensors that produce massive
data for bridge performance prediction. Reasonably and dynamically predicting with …
data for bridge performance prediction. Reasonably and dynamically predicting with …
Multi-modal generative adversarial networks for synthesizing time-series structural impact responses
The process of validating newly-defined state observers can potentially require a significant
amount of data gathered from instrumentation. However, collecting data for high-rate …
amount of data gathered from instrumentation. However, collecting data for high-rate …
Multi-step ahead state estimation with hybrid algorithm for high-rate dynamic systems
High-rate systems are defined as engineering systems that undergo accelerations of
amplitudes typically greater than 100 gn over less than 100 ms. Examples include adaptive …
amplitudes typically greater than 100 gn over less than 100 ms. Examples include adaptive …
Real-time structural model updating using local eigenvalue modification procedure for applications in high-rate dynamic events
Estimating the state of structures that experience high-rate dynamics requires real-time
model updating capabilities. High-rate dynamic events are characterized by (1) large …
model updating capabilities. High-rate dynamic events are characterized by (1) large …
Optimal Sampling Methodologies for High-rate Structural Twinning
In high-rate structural health monitoring, it is crucial to quickly and accurately assess the
current state of a component under dynamic loads. State information is needed to make …
current state of a component under dynamic loads. State information is needed to make …
Generated datasets from dynamic reproduction of projectiles in ballistic environments for advanced research (DROPBEAR) testbed
High-rate dynamics occur when a system's acceleration is larger than 100 gn over durations
less than 100 ms. Structural health monitoring algorithms must be created for high-rate …
less than 100 ms. Structural health monitoring algorithms must be created for high-rate …
Topological data analysis for real-time extraction of time series features
Real-time state estimation is critical in rapidly assessing structural health to empower real-
time feedback mitigation strategies. Of interest to this paper is the state estimation of high …
time feedback mitigation strategies. Of interest to this paper is the state estimation of high …