1 citations · 1 across the 3 of their papers we have counts for
3 papers
Towards a data-scale independent regulariser for robust sparse identification of non-linear dynamics
Jay Raut, Daniel N. Wilke, Stephan Schmidt
Data normalisation, a common and often necessary preprocessing step in engineering and scientific applications, can severely distort the discovery of governing equations by magnitu…
Generalised envelope spectrum-based signal-to-noise objectives: Formulation, optimisation and application for gear fault detection under time-varying speed conditions
Stephan Schmidt, Daniel N. Wilke, Konstantinos C. Gryllias
In vibration-based condition monitoring, optimal filter design improves fault detection by enhancing weak fault signatures within vibration signals. This process involves optimisin…
A spectral regularisation framework for latent variable models designed for single channel applications
Ryan Balshaw, P. Stephan Heyns, Daniel N. Wilke +1
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 d…