| Fault detection of wind turbine generator bearing using attention-based neural networks and voting-based strategy Q Yang, G Liu, Y Bao, Q Chen IEEE/ASME Transactions on Mechatronics 27 (5), 3008-3018, 2021 | 46 | 2021 |
| A data-mining compensation approach for yaw misalignment on wind turbine Y Bao, Q Yang IEEE Transactions on Industrial Informatics 17 (12), 8154-8164, 2021 | 30 | 2021 |
| A data-driven approach for identification and compensation of wind turbine inherent yaw misalignment Y Bao, Q Yang, S Li, K Miao, Y Sun 2018 33rd Youth Academic Annual Conference of Chinese Association of …, 2018 | 11 | 2018 |
| Iterative modeling of wind turbine power curve based on least‐square B‐spline approximation Y Bao, Q Yang, Y Sun Asian Journal of Control 21 (4), 2004-2016, 2019 | 6 | 2019 |
| Least-square b-spline approximation based wind turbine power curve modeling Y Bao, D Pan, X Wang, L Liao, Q Yang 2017 Chinese Automation Congress (CAC), 6711-6716, 2017 | 5 | 2017 |
| Identification of yaw error inherent misalignment for wind turbine based on SCADA data: A data mining approach Y Bao, Q Yang, L Fu, Q Chen, C Cheng, Y Sun 2019 12th Asian Control Conference (ASCC), 1095-1100, 2019 | 2 | 2019 |
| Method of identification and compensation of inherent deviation of yaw error of wind turbine based on true power curve Q Yang, BAO Yunong, J Chen, Y Sun US Patent 11,649,803, 2023 | 1 | 2023 |
