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pro vyhledávání: '"Wilke, Daniel N."'
In vibration-based condition monitoring, optimal filter design improves fault detection by enhancing weak fault signatures within vibration signals. This process involves optimising a derived objective function from a defined objective. The objective
Externí odkaz:
http://arxiv.org/abs/2405.00727
Autor:
Wilke, Daniel N
Multifidelity surrogate modelling combines data of varying accuracy and cost from different sources. It strategically uses low-fidelity models for rapid evaluations, saving computational resources, and high-fidelity models for detailed refinement. It
Externí odkaz:
http://arxiv.org/abs/2404.14456
Latent variable models (LVMs) are commonly used to capture the underlying dependencies, patterns, and hidden structure in observed data. Source duplication is a by-product of the data hankelisation pre-processing step common to single channel LVM app
Externí odkaz:
http://arxiv.org/abs/2310.19246
Linear latent variable models such as principal component analysis (PCA), independent component analysis (ICA), canonical correlation analysis (CCA), and factor analysis (FA) identify latent directions (or loadings) either ordered or unordered. The d
Externí odkaz:
http://arxiv.org/abs/2307.05620
Recent developments in surrogate construction predominantly focused on two strategies to improve surrogate accuracy. Firstly, component-wise domain scaling informed by cross-validation. Secondly, regression to construct response surfaces using additi
Externí odkaz:
http://arxiv.org/abs/2303.17694
This work investigates the effects of the choice of momentum diffusion operator on the evolution of multiphase fluid systems resolved with Meshless Lagrangian Methods (MLM). Specifically, the effects of a non-zero viscosity gradient at multiphase int
Externí odkaz:
http://arxiv.org/abs/2303.09978
Publikováno v:
In Mechanical Systems and Signal Processing 1 January 2025 224
Autor:
Wilke, Daniel N.
Force chain networks are generally applied in granular materials to gain insight into inter-particle granular contact. For conservative spherical particle systems, i.e. frictionless and undamped, force chains are information complete due to symmetrie
Externí odkaz:
http://arxiv.org/abs/2106.03771
Publikováno v:
In NDT and E International April 2024 143
Mini-batch sub-sampling (MBSS) is favored in deep neural network training to reduce the computational cost. Still, it introduces an inherent sampling error, making the selection of appropriate learning rates challenging. The sampling errors can manif
Externí odkaz:
http://arxiv.org/abs/2105.10915