Bayesflow: Amortized bayesian workflows with neural networks
Modern Bayesian inference involves a mixture of computational techniques for estimating,
validating, and drawing conclusions from probabilistic models as part of principled …
validating, and drawing conclusions from probabilistic models as part of principled …
Acoustic emission based damage source localization for structural digital twin of wind turbine blades
Z Zhao, NZ Chen - Ocean engineering, 2022 - Elsevier
An improved acoustic emission (AE) based structural damage source localization method for
wind turbine blade is proposed in this paper. Firstly, the dispersion relations of wind turbine …
wind turbine blade is proposed in this paper. Firstly, the dispersion relations of wind turbine …
Trustworthy AI for human-centric smart manufacturing: A survey
Human-centric smart manufacturing (HCSM) envisions a symbiotic relationship between
humans and machines, leveraging human capability and Artificial Intelligence (AI)'s …
humans and machines, leveraging human capability and Artificial Intelligence (AI)'s …
Whitening convergence rate of coupling-based normalizing flows
Coupling-based normalizing flows (eg RealNVP) are a popular family of normalizing flow
architectures that work surprisingly well in practice. This calls for theoretical understanding …
architectures that work surprisingly well in practice. This calls for theoretical understanding …
Efficient model updating of shaft-raft-hull system using multi-stage convolutional neural network combined with sensitivity analysis
M Lu, S Jiao, J Deng, C Wang, Z Zhang - Ocean Engineering, 2024 - Elsevier
Abstract Model updating for marine shaft-raft-hull systems presents significant challenges
due to the numerous components and the resulting inaccessible parameters. This study …
due to the numerous components and the resulting inaccessible parameters. This study …
A recursive inference method based on invertible neural network for multi-level model updating using video monitoring data
Likelihood-free inference methods have been widely adopted, but they face significant
challenges in updating multi-level computational models that have hierarchically embedded …
challenges in updating multi-level computational models that have hierarchically embedded …
An aero-structure-acoustics evaluation framework of wind turbine blade cross-section based on Gradient Boosting regression tree
Under the rapid development of wind turbines, the rotor size has substantially increased in
recent years. To meet the key design criteria, finding a trade-off between aerodynamic …
recent years. To meet the key design criteria, finding a trade-off between aerodynamic …
Fatigue properties of a structural rotor blade adhesive under axial and torsional loading
M Kuhn, N Manousides, A Antoniou… - Fatigue & Fracture of …, 2023 - Wiley Online Library
Axial and torsional fatigue tests at different stress ratios were performed on a structural
adhesive designed for wind turbine rotor blades. By employing previously optimized …
adhesive designed for wind turbine rotor blades. By employing previously optimized …
Uncertainty quantification of structural blade parameters for the aeroelastic damping of wind turbines: a code-to-code comparison
H Verdonck, O Hach, JD Polman… - Wind Energy …, 2023 - wes.copernicus.org
Uncertainty quantification (UQ) is a well-established category of methods to estimate the
effect of parameter variations on a quantity of interest, based on a solid mathematical …
effect of parameter variations on a quantity of interest, based on a solid mathematical …
[HTML][HTML] Model updating of a wind turbine blade finite element Timoshenko beam model with invertible neural networks
P Noever-Castelos, D Melcher… - Wind Energy …, 2022 - wes.copernicus.org
Digitalization, especially in the form of a digital twin, is fast becoming a key instrument for the
monitoring of a product's life cycle from manufacturing to operation and maintenance and …
monitoring of a product's life cycle from manufacturing to operation and maintenance and …