Multireceptive field graph convolutional networks for machine fault diagnosis
Deep learning (DL) based methods have swept the field of mechanical fault diagnosis,
because of the powerful ability of feature representation. However, many of existing DL …
because of the powerful ability of feature representation. However, many of existing DL …
Dynamic graph-based feature learning with few edges considering noisy samples for rotating machinery fault diagnosis
Due to its ability to learn the relationship among nodes from graph data, the graph
convolution network (GCN) has received extensive attention. In the machine fault diagnosis …
convolution network (GCN) has received extensive attention. In the machine fault diagnosis …
On integrating prior knowledge into Gaussian processes for prognostic health monitoring
S Pfingstl, M Zimmermann - Mechanical Systems and Signal Processing, 2022 - Elsevier
Gaussian process regression is a powerful method for predicting states based on given
data. It has been successfully applied for probabilistic predictions of structural systems to …
data. It has been successfully applied for probabilistic predictions of structural systems to …
Crack detection zones: Computation and validation
S Pfingstl, M Steiner, O Tusch, M Zimmermann - Sensors, 2020 - mdpi.com
During the development of aerospace structures, typically many fatigue tests are conducted.
During these tests, much effort is put into inspections in order to detect the onset of failure …
During these tests, much effort is put into inspections in order to detect the onset of failure …
Gaussian Processes for Prognostics
SB Pfingstl - 2023 - mediatum.ub.tum.de
Gaussian processes are typically defined by a prescribed mean and covariance function.
However, these prescribed functions without integrating prior information reduce the …
However, these prescribed functions without integrating prior information reduce the …
Predicting Crack Growth and Fatigue Life with Surrogate Models
S Pfingstl, JI Rios, H Baier, M Zimmermann - arXiv preprint arXiv …, 2020 - arxiv.org
Fatigue-induced damage is still one of the most uncertain failures in structural systems.
Prognostic health monitoring together with surrogate models can help to predict the fatigue …
Prognostic health monitoring together with surrogate models can help to predict the fatigue …