| Wind turbine condition monitoring: technical and commercial challenges W Yang, PJ Tavner, CJ Crabtree, Y Feng, Y Qiu Wind energy 17 (5), 673-693, 2014 | 552 | 2014 |
| Monitoring wind turbine gearboxes Y Feng, Y Qiu, CJ Crabtree, H Long, PJ Tavner Wind energy 16 (5), 728-740, 2013 | 320 | 2013 |
| Early experiences with UK round 1 offshore wind farms Y Feng, PJ Tavner, H Long Proceedings of the Institution of Civil Engineers-energy 163 (4), 167-181, 2010 | 188 | 2010 |
| Wind turbine SCADA alarm analysis for improving reliability Y Qiu, Y Feng, P Tavner, P Richardson, G Erdos, B Chen Wind Energy 15 (8), 951-966, 2012 | 166 | 2012 |
| Methodology and results of the reliawind reliability field study M Wilkinson, B Hendriks, F Spinato, K Harman, E Gomez, H Bulacio, ... European wind energy conference and exhibition 2010, ewec 2010 3, 1984-2004, 2010 | 141 | 2010 |
| Diagnosis of wind turbine faults with transfer learning algorithms W Chen, Y Qiu, Y Feng, Y Li, A Kusiak Renewable Energy 163, 2053-2067, 2021 | 118 | 2021 |
| Detecting incipient wind turbine gearbox failure: a signal analysis method for on-line condition monitoring CJ Crabtree, Y Feng, PJ Tavner Proceedings of European Wind Energy Conference (EWEC 2010), Warsaw, Poland …, 2010 | 106 | 2010 |
| Reliability analysis and prediction of wind turbine gearboxes K Smolders, H Long, Y Feng, P Tavner European Wind Energy Conference and Exhibition 2010, EWEC 2010 4, 2660-2682, 2010 | 100 | 2010 |
| Applying thermophysics for wind turbine drivetrain fault diagnosis using SCADA data Y Qiu, Y Feng, J Sun, W Zhang, D Infield IET Renewable Power Generation 10 (5), 661-668, 2016 | 99 | 2016 |
| Use of SCADA and CMS signals for failure detection and diagnosis of a wind turbine gearbox Y Feng, Y Qiu, CJ Crabtree, H Long, PJ Tavner European Wind Energy Conference and Exhibition 2011, EWEC 2011, 17-19, 2011 | 94 | 2011 |
| Normalized wavelet packets quantifiers for condition monitoring Y Feng, FS Schlindwein Mechanical Systems and Signal Processing 23 (3), 712-723, 2009 | 87 | 2009 |
| Using an FMEA method to compare prospective wind turbine design reliabilities PJ Tavner, A Higgins, H Arabian, H Long, Y Feng European Wind Energy Conference and Exhibition 2010, EWEC 2010 4, 2501-2537, 2010 | 68 | 2010 |
| Fault diagnosis of wind turbine with SCADA alarms based multidimensional information processing method Y Qiu, Y Feng, D Infield Renewable energy 145, 1923-1931, 2020 | 62 | 2020 |
| Wind turbine SCADA alarm pattern recognition B Chen, YN Qiu, Y Feng, PJ Tavner, WW Song IET Digital Library, 2011 | 48 | 2011 |
| Study of wind turbine fault diagnosis based on unscented Kalman filter and SCADA data M Cao, Y Qiu, Y Feng, H Wang, D Li Energies 9 (10), 847, 2016 | 47 | 2016 |
| Review of recent offshore wind power developments in china TY Liu, PJ Tavner, Y Feng, YN Qiu Wind energy 16 (5), 786-803, 2013 | 46 | 2013 |
| An electro-thermal analysis of a variable-speed doubly-fed induction generator in a wind turbine Y Qiu, W Zhang, M Cao, Y Feng, D Infield Energies 8 (5), 3386-3402, 2015 | 42 | 2015 |
| Combined effect of passive vortex generators and leading-edge roughness on dynamic stall of the wind turbine airfoil C Zhu, Y Qiu, Y Feng, T Wang, H Li Energy Conversion and Management 251, 115015, 2022 | 39 | 2022 |
| A wavelet cluster-based band-pass filtering and envelope demodulation approach with application to fault diagnosis in a dry vacuum pump W Jiang, SK Spurgeon, JA Twiddle, FS Schlindwein, Y Feng, ... Proceedings of the Institution of Mechanical Engineers, Part C: Journal of …, 2007 | 38 | 2007 |
| Power prediction of wind turbine in the wake using hybrid physical process and machine learning models H Zhou, Y Qiu, Y Feng, J Liu Renewable Energy 198, 568-586, 2022 | 35 | 2022 |
Peter TavnerEmeritus Professor, DSc, FIET, Eur Ing, Durham University, Department of EngineeringVerified email at durham.ac.uk
