| Predicting pitting severity in gearboxes under unseen operating conditions and fault severities using convolutional neural networks with power spectral density inputs R Vaerenberg, D Marx, SA Hosseinli, DF Fabrizio, H Wen, R Zhu, ... Annual Conference of the PHM Society 15 (1), 2023 | 1 | 2023 |
| Transforming gradient-based sensitivity maps for bearing CM J Tulleners, R Vaerenberg, K Gryllias Flanders AI Research Day 24, Location: Gent, 2024 | | 2024 |
| Transforming explainable AI attribution maps from input domain to interpretable domains R Vaerenberg, J Tulleners, K Gryllias Leuven. AI scientific workshop 2024, Location: Leuven, 2024 | | 2024 |
| A Preprocessing and Modeling Approach for Gearbox Pitting Severity Prediction under Unseen Operating Conditions and Fault Severities R Vaerenberg, D Marx, SA Hosseinli, F De Fabritiis, H Wen, R Zhu, ... International Journal of Prognostics and Health Management 15 (1), 2024 | | 2024 |
| Quantification of bias in anomaly detection due to mismatched labeled anomalies R Vaerenberg, K Gryllias Conference on Machine, Vehicle and Production Technologies (CMVPT), Location …, 2024 | | 2024 |
| Context Aware Anomaly Detection for Condition Monitoring of Rolling Element Bearings R Vaerenberg, K Gryllias International conference on the Efficiency and Performance Engineering …, 2023 | | 2023 |
| Context aware anomaly detection with multi-sphere DeepSVD R Vaerenberg Conference for Machines, Vehicles and Production Technology (CMVPT …, 2023 | | 2023 |
