| Control chart monitoring of wind turbine generators using the statistical inertia of a wind farm average P Cambron, C Masson, A Tahan, F Pelletier Renewable Energy 116, 88-98, 2018 | 63 | 2018 |
| Power curve monitoring using weighted moving average control charts P Cambron, R Lepvrier, C Masson, A Tahan, F Pelletier Renewable Energies 94 (August 2016), 126-135, 2016 | 62 | 2016 |
| Applications and modeling techniques of wind turbine power curve for wind farms—A review F Bilendo, A Meyer, H Badihi, N Lu, P Cambron, B Jiang Energies 16 (1), 180, 2022 | 47 | 2022 |
| Bearing temperature monitoring of a wind turbine using physics-based model P Cambron, A Tahan, C Masson, F Pelletier Journal of Quality in Maintenance Engineering 23 (4), 479-488, 2017 | 42 | 2017 |
| A normal behavior model based on power curve and stacked regressions for condition monitoring of wind turbines F Bilendo, H Badihi, N Lu, P Cambron, B Jiang IEEE Transactions on Instrumentation and Measurement 71, 1-13, 2022 | 22 | 2022 |
| Early detection and diagnosis of wind turbine abnormal conditions using an interpretable supervised variational autoencoder model A Oliveira-Filho, R Zemouri, P Cambron, A Tahan Energies 16 (12), 4544, 2023 | 17 | 2023 |
| Condition monitoring of wind turbine main bearing using SCADA data and informed by the principle of energy conservation AM De Oliveira-Filho, P Cambron, A Tahan 2022 Prognostics and Health Management Conference (PHM-2022 London), 276-282, 2022 | 8 | 2022 |
| An intelligent data-driven machine learning approach for fault detection of wind turbines F Bilendo, H Badihi, N Lu, P Cambron, B Jiang 2021 6th International Conference on Power and Renewable Energy (ICPRE), 444-449, 2021 | 7 | 2021 |
| Multitarget normal behavior model based on heterogeneous stacked regressions and change-point detection for wind turbine condition monitoring F Bilendo, N Lu, H Badihi, A Meyer, Ü Cali, P Cambron IEEE Transactions on Industrial Informatics 20 (4), 5171-5181, 2023 | 4 | 2023 |
| Power curve-based fault detection method for wind turbines F Bilendo, H Badihi, N Lu, P Cambron, B Jiang Ifac-Papersonline 55 (6), 408-413, 2022 | 3 | 2022 |
| Operational wind turbine blade damage evaluation based on 10-min SCADA and 1 Hz Data A Chrétien, A Tahan, P Cambron, A Oliveira-Filho Energies 16 (7), 3156, 2023 | 2 | 2023 |
| Imaging wind turbine fault signatures based on power curve and self-organizing map for image-based fault diagnosis F Bilendo, H Badihi, N Lu, P Cambron, B Jiang 2022 IEEE International Symposium on Advanced Control of Industrial …, 2022 | 2 | 2022 |
| Wind farm generators thermal condition monitoring based on long short-term memory M Saeidi, P Cambron, A Kaymanesh, A Chandra 2020 IEEE International Conference on Power Electronics, Drives and Energy …, 2020 | 1 | 2020 |
| Comparison of power curve monitoring methods P Cambron, C Masson, A Tahan, D Torres, F Pelletier E3S Web of Conferences 22, 00024, 2017 | 1 | 2017 |
| Détection de sous-performances de centrales éoliennes avec l’aide de cartes de contrôle P Cambron École de technologie supérieure, 2017 | | 2017 |
Souheil Antoine TahanProfessor, École de technologie supérieureEmail được xác minh tại etsmtl.ca