| A semi-supervised Support Vector Data Description-based fault detection method for rolling element bearings based on cyclic spectral analysis C Liu, K Gryllias Mechanical Systems and Signal Processing 140, 106682, 2020 | 99 | 2020 |
| Simulation-driven domain adaptation for rolling element bearing fault diagnosis C Liu, K Gryllias IEEE Transactions on Industrial Informatics 18 (9), 5760-5770, 2021 | 48 | 2021 |
| Domain adaptation digital twin for rolling element bearing prognostics C Liu, A Ricardo Mauricio, J Qi, D Peng, K Gryllias Online proceedings of PHM2020, 1-10, 2020 | 23 | 2020 |
| Vibration-based gear continuous generating grinding fault classification and interpretation with deep convolutional neural network C Liu, Y Meerten, K Declercq, K Gryllias Journal of Manufacturing Processes 79, 688-704, 2022 | 15 | 2022 |
| A deep support vector data description method for anomaly detection in helicopters C Liu, K Gryllias PHM Society European Conference 6 (1), 9-9, 2021 | 13 | 2021 |
| Unsupervised domain adaptation based remaining useful life prediction of rolling element bearings C Liu, K Gryllias PHM Society European Conference 5 (1), 10-10, 2020 | 13 | 2020 |
| Deep unsupervised transfer learning for health status prediction of a fleet of wind turbines with unbalanced data D Peng, C Liu, W Desmet, K Gryllias Proceedings of the Annual Conference of the PHM Society 2021, 2021 | 11 | 2021 |
| Gearbox fault diagnosis using convolutional neural networks and support vector machines Z Chen, C Liu, K Gryllias, W Li 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 9 | 2019 |
| An improved 2DCNN with focal loss function for blade icing detection of wind turbines under imbalanced SCADA data D Peng, C Liu, W Desmet, K Gryllias International Conference on Offshore Mechanics and Arctic Engineering 84768 …, 2021 | 7 | 2021 |
| Gear grinding monitoring based on deep convolutional neural networks C Liu, A Mauricio, Z Chen, K Declercq, Y Meerten, Y Vonderscher, ... IFAC-PapersOnLine 53 (2), 10324-10329, 2020 | 7 | 2020 |
| Anomaly detection and multi-step estimation based remaining useful life prediction for rolling element bearings J Qi, R Zhu, C Liu, A Mauricio, K Gryllias Mechanical Systems and Signal Processing 206, 110910, 2024 | 5 | 2024 |
| Semi-Supervised CNN-Based SVDD Anomaly Detection for Condition Monitoring of Wind Turbines D Peng, C Liu, W Desmet, K Gryllias International Conference on Offshore Mechanics and Arctic Engineering 86618 …, 2022 | 3 | 2022 |
| Deep learning implementations of cyclo-stationary signal processing methods DG Marx, C Liu, J Antoni, K Gryllias 2022 Leuven Conference on Noise and Vibration Engineering, 661-678, 2022 | 1 | 2022 |
| A transfer learning-based rolling bearing fault diagnosis across machines D Peng, C Liu, A Ricardo Mauricio, W Desmet, K Gryllias Proceedings of the Annual Conference of the PHM Society 2022 14 (1), 2022 | 1 | 2022 |
| Deep One-Class Method for Helicopter Anomaly Detection based on Cyclic Spectral Analysis C Liu, K Gryllia 19th Australian International Aerospace Congress, 2021 | 1 | 2021 |
| Condition Monitoring of Wind Turbine Drivetrain Bearings K Gryllias, J Qi, A Mauricio, C Liu Journal of Engineering for Gas Turbines and Power 146 (7), 2024 | | 2024 |
| Condition Monitoring of Wind Turbines Based on Anomaly Detection Using Deep Support Vector Data Description D Peng, C Liu, W Desmet, K Gryllias Journal of Engineering for Gas Turbines and Power 145 (9), 091009, 2023 | | 2023 |
| SCADA-based Deep Autoencoder SVDD for Wind Turbine Anomaly Detection D Peng, C Liu, W Desmet, K Gryllias Wind Energy Science Conference 2023, Date: 2023/05/23-2023/05/26, Location …, 2023 | | 2023 |
| Machine Learning for Remaining Useful Life prediction: a Python toolbox for the whole chain SA Hosseinli Flanders Make Scientific Conference, Location: Antwerp, 2023 | | 2023 |
| Condition Monitoring of Rolling Element Bearings based on Artificial Intelligence: from Kernel Methods to Simulation-based Transfer Learning C Liu | | 2023 |
Konstantinos C. GrylliasAssociate Professor, Department of Mechanical Engineering, KULeuven, BelgiumVerified email at kuleuven.be
