Report on wind turbine subsystem reliability-a survey of various databases (presentation) S Sheng National Renewable Energy Lab.(NREL), Golden, CO (United States), 2013 | 253 | 2013 |
Wind turbine drivetrain condition monitoring during GRC phase 1 and phase 2 testing S Sheng, H Link, W LaCava, J van Dam, B McNiff, P Veers, J Keller, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2011 | 233* | 2011 |
Material wear and fatigue in wind turbine systems A Greco, S Sheng, J Keller, A Erdemir Wear 302 (1-2), 1583-1591, 2013 | 216 | 2013 |
Use of SCADA data for failure detection in wind turbines K Kim, G Parthasarathy, O Uluyol, W Foslien, S Sheng, P Fleming Energy sustainability 54686, 2071-2079, 2011 | 200 | 2011 |
Gearbox reliability collaborative project report: findings from phase 1 and phase 2 testing H Link, W LaCava, J van Dam, B McNiff, S Sheng, R Wallen, M McDade, ... National Renewable Energy Lab.(NREL), Golden, CO (United States), 2011 | 174 | 2011 |
Wind turbine gearbox condition monitoring round robin study-vibration analysis S Sheng National Renewable Energy Lab.(NREL), Golden, CO (United States), 2012 | 159 | 2012 |
Side‐band algorithm for automatic wind turbine gearbox fault detection and diagnosis D Zappalá, PJ Tavner, CJ Crabtree, S Sheng IET Renewable Power Generation 8 (4), 380-389, 2014 | 108 | 2014 |
Condition monitoring of wind power system with nonparametric regression analysis N Yampikulsakul, E Byon, S Huang, S Sheng, M You IEEE Transactions on Energy Conversion 29 (2), 288-299, 2014 | 100 | 2014 |
An explanation of frequency features enabling detection of faults in equally spaced planetary gearbox L Hong, JS Dhupia, S Sheng Mechanism and Machine Theory 73, 169-183, 2014 | 93 | 2014 |
Wind turbine drivetrains: state-of-the-art technologies and future development trends AR Nejad, J Keller, Y Guo, S Sheng, H Polinder, S Watson, J Dong, Z Qin, ... Wind Energy Science Discussions 2021, 1-35, 2021 | 91 | 2021 |
Monitoring of wind turbine gearbox condition through oil and wear debris analysis: A full-scale testing perspective S Sheng Tribology Transactions 59 (1), 149-162, 2016 | 87 | 2016 |
Real-time monitoring, prognosis, and resilient control for wind turbine systems Z Gao, S Sheng Renewable Energy 116, 1-4, 2018 | 67 | 2018 |
A novel vibration-based fault diagnostic algorithm for gearboxes under speed fluctuations without rotational speed measurement L Hong, Y Qu, JS Dhupia, S Sheng, Y Tan, Z Zhou Mechanical Systems and Signal Processing 94, 14-32, 2017 | 52 | 2017 |
Wind turbine gearbox reliability database, condition monitoring, and operation and maintenance research update S Sheng National Renewable Energy Lab.(NREL), Golden, CO (United States), 2016 | 50 | 2016 |
Wind turbine micropitting workshop: a recap S Sheng National Renewable Energy Lab.(NREL), Golden, CO (United States), 2010 | 50 | 2010 |
Diagnostic models for wind turbine gearbox components using scada time series data R Orozco, S Sheng, C Phillips 2018 IEEE International Conference on Prognostics and Health Management …, 2018 | 44 | 2018 |
Investigation of various condition monitoring techniques based on a damaged wind turbine gearbox S Sheng National Renewable Energy Lab.(NREL), Golden, CO (United States), 2011 | 42 | 2011 |
A methodology for reliability assessment and prognosis of bearing axial cracking in wind turbine gearboxes Y Guo, S Sheng, C Phillips, J Keller, P Veers, L Williams Renewable and Sustainable Energy Reviews 127, 2020 | 40 | 2020 |
Investigation of data fusion applied to health monitoring of wind turbine drivetrain components PJ Dempsey, S Sheng Wind Energy, 2012 | 37 | 2012 |
An anomaly detection framework for dynamic systems using a Bayesian hierarchical framework R Moghaddass, S Sheng Applied energy 240, 561-582, 2019 | 34 | 2019 |