| 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 | 488 | 2020 |
| 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 | 449 | 2022 |
| Fusing physics-based and deep learning models for prognostics MA Chao, C Kulkarni, K Goebel, O Fink Reliability Engineering & System Safety 217, 107961, 2022 | 309 | 2022 |
| 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 | 259 | 2018 |
| 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 | 213 | 2021 |
| A comprehensive review of digital twin—part 1: modeling and twinning enabling technologies A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ... Structural and Multidisciplinary Optimization 65 (12), 354, 2022 | 210 | 2022 |
| 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 | 201 | 2016 |
| 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 | 152 | 2021 |
| 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 | 151 | 2019 |
| 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 | 145 | 2014 |
| Unsupervised transfer learning for anomaly detection: Application to complementary operating condition transfer G Michau, O Fink Knowledge-Based Systems 216, 106816, 2021 | 115 | 2021 |
| A comprehensive review of digital twin—part 2: roles of uncertainty quantification and optimization, a battery digital twin, and perspectives A Thelen, X Zhang, O Fink, Y Lu, S Ghosh, BD Youn, MD Todd, ... Structural and multidisciplinary optimization 66 (1), 1, 2023 | 95 | 2023 |
| 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 | 82* | 2022 |
| Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial V Nemani, L Biggio, X Huan, Z Hu, O Fink, A Tran, Y Wang, X Zhang, ... Mechanical Systems and Signal Processing 205, 110796, 2023 | 80 | 2023 |
| Integrating expert knowledge with domain adaptation for unsupervised fault diagnosis Q Wang, C Taal, O Fink IEEE Transactions on Instrumentation and Measurement 71, 1-12, 2021 | 78 | 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 | 72 | 2020 |
| Fully learnable deep wavelet transform for unsupervised monitoring of high-frequency time series G Michau, G Frusque, O Fink Proceedings of the National Academy of Sciences 119 (8), e2106598119, 2022 | 70 | 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 | 70 | 2019 |
| Missing-class-robust domain adaptation by unilateral alignment Q Wang, G Michau, O Fink IEEE Transactions on Industrial Electronics 68 (1), 663-671, 2020 | 68 | 2020 |
| Real-time model calibration with deep reinforcement learning Y Tian, MA Chao, C Kulkarni, K Goebel, O Fink Mechanical Systems and Signal Processing 165, 108284, 2022 | 57 | 2022 |
Gabriel MichauTean Leader - New Maintenance Technologies, Stadler Service AG在 ethz.ch 的电子邮件经过验证
