Author

Alexander Diedrich

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Conference Open access Sep 2026

Uncertainty-Aware Model Learning for Fault Diagnosis

This paper presents two novel algorithms (NDDGD-S and NDDGD-C) that learn Grangercausal propositional logic models from uncertain time-series data by jointly exploiting lower-bound and upper-bound observations of the operating range.

Friederike Bruns, Alexander Diedrich, Andreas Rauh et al. · IEEE International Conferenc... · 0 citations

#artificial intelligence Preprint Nov 2026

Reconstruction-Based Diagnosis through G\"odel-Regularized Virtual Observability

Not every component in a technical system can be equipped with sensors. Hence, when a fault occurs, available sensors often detect it only after its effects have propagated. This makes the isolation of faults difficult. We approach this problem by introducing virtual sensors. For each combination of component and fault...

Oliver Niggemann, Jonas Ehrhardt, Alexander Diedrich · 0 citations