Diagnosing wind turbine faults using machine learning techniques applied to operational data
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Costas J. Spanos | Alice M. Agogino | R. Lily Hu | Kevin Leahy | Ioannis C. Konstantakopoulos | C. Spanos | A. Agogino | K. Leahy | R. Hu
[1] A Kusiak,et al. A Data-Driven Approach for Monitoring Blade Pitch Faults in Wind Turbines , 2011, IEEE Transactions on Sustainable Energy.
[2] Shane Butler,et al. Exploiting SCADA system data for wind turbine performance monitoring , 2013, 2013 Conference on Control and Fault-Tolerant Systems (SysTol).
[3] Bo-Suk Yang,et al. Support vector machine in machine condition monitoring and fault diagnosis , 2007 .
[4] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[5] Georgios Alexandros Skrimpas,et al. Employment of Kernel Methods on Wind Turbine Power Performance Assessment , 2015, IEEE Transactions on Sustainable Energy.
[6] Jae-Kyung Lee,et al. Development of a Novel Power Curve Monitoring Method for Wind Turbines and Its Field Tests , 2014, IEEE Transactions on Energy Conversion.
[7] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[8] Andrew Kusiak,et al. The prediction and diagnosis of wind turbine faults , 2011 .
[9] Jay Lee,et al. Wind turbine performance assessment using multi-regime modeling approach , 2012 .
[10] María Isabel Blanco. The economics of wind energy , 2009 .
[11] Shuhui Li,et al. Using neural networks to estimate wind turbine power generation , 2001 .
[12] A. Kusiak,et al. Monitoring Wind Farms With Performance Curves , 2013, IEEE Transactions on Sustainable Energy.
[13] Sung-Hoon Ahn,et al. Condition monitoring and fault detection of wind turbines and related algorithms: A review , 2009 .
[14] Sami Othman,et al. Support Vector Machines for Fault Detection in Wind Turbines , 2011 .
[15] John V. Ringwood,et al. A feasibility study into prognostics for the main bearing of a wind turbine , 2012, 2012 IEEE International Conference on Control Applications.
[16] Wenxian Yang,et al. Wind turbine condition monitoring by the approach of SCADA data analysis , 2013 .
[17] Peter Matthews,et al. Classification and Detection of Wind Turbine Pitch Faults Through SCADA Data Analysis , 2020, International Journal of Prognostics and Health Management.
[18] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[19] B. Stephen,et al. Wind Turbine Condition Assessment Through Power Curve Copula Modeling , 2012, IEEE Transactions on Sustainable Energy.
[20] Yingning Qiu,et al. Wind turbine condition monitoring: technical and commercial challenges , 2014 .
[21] David Infield,et al. Online wind turbine fault detection through automated SCADA data analysis , 2009 .
[22] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[23] Wendy Foslien,et al. Power Curve Analytic for Wind Turbine Performance Monitoring and Prognostics , 2011 .