Search Results for author: Simon Pfingstl

Found 3 papers, 0 papers with code

On Integrating Prior Knowledge into Gaussian Processes for Prognostic Health Monitoring

no code implementations17 Jun 2022 Simon Pfingstl, Markus Zimmermann

We show that well-chosen mean and covariance functions, like those based on previous data, significantly increase look-ahead time and accuracy.

Gaussian Processes

On the Potential of Extending Aircraft Service Time Using a Fatigue Damage Index

no code implementations7 Aug 2020 Simon Pfingstl, Dominik Steinweg, Markus Zimmermann, Mirko Hornung

Aircraft structures experience various kinds of loads over their entire lifetime, typically leading to fatigue and ultimately structural failure.

Predicting Crack Growth and Fatigue Life with Surrogate Models

no code implementations5 Aug 2020 Simon Pfingstl, Jose Ignacio Rios, Horst Baier, Markus Zimmermann

For a coupon test, we predict the time to failure and the crack growth with confidence intervals.

regression

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