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Shawn Sheng
Shawn Sheng
Dirección de correo verificada de nrel.gov - Página principal
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Citado por
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Año
Report on wind turbine subsystem reliability-a survey of various databases (presentation)
S Sheng
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2013
2522013
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
232*2011
Material wear and fatigue in wind turbine systems
A Greco, S Sheng, J Keller, A Erdemir
Wear 302 (1-2), 1583-1591, 2013
2132013
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
1992011
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
1722011
Wind turbine gearbox condition monitoring round robin study-vibration analysis
S Sheng
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2012
1592012
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
1082014
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
992014
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
892014
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
872021
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
842016
Real-time monitoring, prognosis, and resilient control for wind turbine systems
Z Gao, S Sheng
Renewable Energy 116, 1-4, 2018
672018
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
522017
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
502016
Wind turbine micropitting workshop: a recap
S Sheng
National Renewable Energy Lab.(NREL), Golden, CO (United States), 2010
502010
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
432018
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
402020
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
402011
Investigation of data fusion applied to health monitoring of wind turbine drivetrain components
PJ Dempsey, S Sheng
Wind Energy, 2012
362012
An anomaly detection framework for dynamic systems using a Bayesian hierarchical framework
R Moghaddass, S Sheng
Applied energy 240, 561-582, 2019
342019
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Artículos 1–20