| Potential, challenges and future directions for deep learning in prognostics and health management applications O Fink, Q Wang, M Svensén, P Dersin, WJ Lee, M Ducoffe Engineering Applications of Artificial Intelligence 92, 103678, 2020 | 250 | 2020 |
| Combined fault location and classification for power transmission lines fault diagnosis with integrated feature extraction YQ Chen, O Fink, G Sansavini IEEE Transactions on Industrial Electronics 65 (1), 561-569, 2018 | 183 | 2018 |
| Two machine learning approaches for short-term wind speed time-series prediction R Ak, O Fink, E Zio IEEE transactions on neural networks and learning systems 27 (8), 1734-1747, 2016 | 159 | 2016 |
| Predicting component reliability and level of degradation with complex-valued neural networks O Fink, E Zio, U Weidmann Reliability Engineering & System Safety 121, 198-206, 2014 | 119 | 2014 |
| Domain adaptive transfer learning for fault diagnosis Q Wang, G Michau, O Fink 2019 Prognostics and System Health Management Conference (PHM-Paris), 279-285, 2019 | 108 | 2019 |
| Fusing physics-based and deep learning models for prognostics MA Chao, C Kulkarni, K Goebel, O Fink Reliability Engineering & System Safety 217, 107961, 2022 | 101 | 2022 |
| Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics M Arias Chao, C Kulkarni, K Goebel, O Fink Data 6 (1), 5, 2021 | 71 | 2021 |
| Domain adaptive semantic segmentation with self-supervised depth estimation Q Wang, D Dai, L Hoyer, L Van Gool, O Fink Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 54 | 2021 |
| Continual test-time domain adaptation Q Wang, O Fink, L Van Gool, D Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 52 | 2022 |
| Feature learning for fault detection in high-dimensional condition-monitoring signals G Michau, Y Hu, T Palmé, O Fink Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2019 | 45 | 2019 |
| Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer G Michau, O Fink Knowledge-Based Systems 216, 106816, 2021 | 41 | 2021 |
| Off-policy reinforcement learning for efficient and effective gan architecture search Y Tian, Q Wang, Z Huang, W Li, D Dai, M Yang, J Wang, O Fink European Conference on Computer Vision, 175-192, 2020 | 39 | 2020 |
| Missing-class-robust domain adaptation by unilateral alignment Q Wang, G Michau, O Fink IEEE Transactions on Industrial Electronics 68 (1), 663-671, 2020 | 38 | 2020 |
| Fault detection based on signal reconstruction with Auto-Associative Extreme Learning Machines Y Hu, T Palmé, O Fink Engineering Applications of Artificial Intelligence 57, 105-117, 2017 | 37 | 2017 |
| Temporal signals to images: Monitoring the condition of industrial assets with deep learning image processing algorithms GR Garcia, G Michau, M Ducoffe, JS Gupta, O Fink Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2022 | 34* | 2022 |
| Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models M Arias Chao, C Kulkarni, K Goebel, O Fink International Journal of Prognostics and Health Management 10 (033), 2019 | 29* | 2019 |
| Deep feature learning network for fault detection and isolation G Michau, T Palm, O Fink Annual Conference of the PHM Society 9 (1), 2017 | 29 | 2017 |
| Fuzzy Classification With Restricted Boltzman Machines and Echo-State Networks for Predicting Potential Railway Door System Failures O Fink, E Zio, U Weidmann IEEE Transactions on Reliability 64 (3), 861-868, 2015 | 29 | 2015 |
| Novelty detection by multivariate kernel density estimation and growing neural gas algorithm O Fink, E Zio, U Weidmann Mechanical Systems and Signal Processing 50, 427-436, 2015 | 29 | 2015 |
| Fleet PHM for critical systems: bi-level deep learning approach for fault detection G Michau, T Palmé, O Fink Proceedings of the European Conference of the PHM Society 2018 4 (1), 403, 2018 | 26 | 2018 |
Gabriel MichauProject Manager CBM, Stadler Service AGVerified email at ethz.ch
