A generalized model for wind turbine anomaly identification based on SCADA data
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Xiao Lei | Jian Li | Peng Sun | Caisheng Wang | Caisheng Wang | P. Sun | Jian Li | Xiao Lei
[1] Leo E. Jensen,et al. The impact of turbulence intensity and atmospheric stability on power deficits due to wind turbine wakes at Horns Rev wind farm , 2010 .
[2] Hua Zhang,et al. Study on the Maximum Entropy Principle applied to the annual wind speed probability distribution: A case study for observations of intertidal zone anemometer towers of Rudong in East China Sea , 2014 .
[3] Jian Li,et al. Normal Behavior Models for the Condition Assessment of Wind Turbine Generator Systems , 2014 .
[4] Andreas Sumper,et al. Technical and economic assessment of offshore wind power plants based on variable frequency operation of clusters with a single power converter , 2014 .
[5] Lamine Thiaw,et al. A neural network based approach for wind resource and wind generators production assessment , 2010 .
[6] A. Kusiak,et al. A Data-Mining Approach to Monitoring Wind Turbines , 2012, IEEE Transactions on Sustainable Energy.
[7] Hans-Jürgen Zimmermann,et al. Fuzzy Set Theory - and Its Applications , 1985 .
[8] Andrew Kusiak,et al. Prediction, operations, and condition monitoring in wind energy , 2013 .
[9] Feng Gao,et al. Sparse online warped Gaussian process for wind power probabilistic forecasting , 2013 .
[10] Wenxian Yang,et al. Wind turbine condition monitoring by the approach of SCADA data analysis , 2013 .
[11] S.D.J. McArthur,et al. A Multi-Agent Fault Detection System for Wind Turbine Defect Recognition and Diagnosis , 2007, 2007 IEEE Lausanne Power Tech.
[12] Meik Schlechtingen,et al. Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection , 2011 .
[13] Xiandong Ma,et al. Nonlinear system identification for model-based condition monitoring of wind turbines , 2014 .
[14] David Infield,et al. Online wind turbine fault detection through automated SCADA data analysis , 2009 .
[15] E. Becker,et al. Keeping the blades turning: Condition monitoring of wind turbine gears , 2006 .
[16] David A. Spera,et al. Wind turbine technology : fundamental concepts of wind turbine engineering , 1994 .
[17] Sofiane Achiche,et al. Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1: System description , 2013, Appl. Soft Comput..
[18] Zijun Zhang,et al. Short-term wind speed forecasting with Markov-switching model , 2014 .
[19] B. Silverman. Density estimation for statistics and data analysis , 1986 .
[20] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[21] R.-S. Lu,et al. Analysis of reservoir water quality using fuzzy synthetic evaluation , 1999 .
[22] Sung-Hoon Ahn,et al. Condition monitoring and fault detection of wind turbines and related algorithms: A review , 2009 .
[23] Davide Astolfi,et al. Data mining techniques for performance analysis of onshore wind farms , 2015 .
[24] Jochen Giebhardt,et al. Rotor Condition Monitoring for Improved Operational Safety of Offshore Wind Energy Converters , 2005 .
[25] Filippo Petroni,et al. Economic performance indicators of wind energy based on wind speed stochastic modeling , 2015 .
[26] Rebecca J. Barthelmie,et al. An overview of data for wake model evaluation in the Virtual Wakes Laboratory , 2013 .
[27] Antonio Messineo,et al. Monitoring of wind farms’ power curves using machine learning techniques , 2012 .
[28] Rupp Carriveau,et al. Wake impacts on downstream wind turbine performance and yaw alignment , 2013 .
[29] Hester Bijl,et al. Simulating dynamic stall in a two‐dimensional vertical‐axis wind turbine: verification and validation with particle image velocimetry data , 2010 .
[30] Yingning Qiu,et al. Wind turbine condition monitoring: technical and commercial challenges , 2014 .
[31] Luisa Pagnini,et al. Experimental power curve of small-size wind turbines in turbulent urban environment , 2015 .
[32] M. Schlechtingen,et al. Using Data-Mining Approaches for Wind Turbine Power Curve Monitoring: A Comparative Study , 2013, IEEE Transactions on Sustainable Energy.
[33] A. Immanuel Selvakumar,et al. A comprehensive review on wind turbine power curve modeling techniques , 2014 .
[34] Zhe Chen,et al. An improved fuzzy synthetic condition assessment of a wind turbine generator system , 2013 .
[35] Andrew Kusiak,et al. Analyzing bearing faults in wind turbines: A data-mining approach , 2012 .
[36] Meik Schlechtingen,et al. Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 2: Application examples , 2014, Appl. Soft Comput..
[37] Slim Soua,et al. Determination of the combined vibrational and acoustic emission signature of a wind turbine gearbox and generator shaft in service as a pre-requisite for effective condition monitoring , 2013 .
[38] AchicheSofiane,et al. Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1 , 2013 .
[39] Jianzhou Wang,et al. Performance analysis of four modified approaches for wind speed forecasting , 2012 .
[40] V. Miranda,et al. Wind power forecasting uncertainty and unit commitment , 2011 .
[41] Antero Arkkio,et al. Detection of stator winding fault in induction motor using fuzzy logic , 2008, Appl. Soft Comput..
[42] Miguel A. Sanz-Bobi,et al. SIMAP: Intelligent System for Predictive Maintenance: Application to the health condition monitoring of a windturbine gearbox , 2006, Comput. Ind..
[43] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[44] Rafic Younes,et al. Review of performance optimization techniques applied to wind turbines , 2015 .
[45] Eunshin Byon,et al. Condition Monitoring of Wind Power System With Nonparametric Regression Analysis , 2014, IEEE Transactions on Energy Conversion.
[46] Xiyun Yang,et al. Wind Turbine Generator Condition-Monitoring Using Temperature Trend Analysis , 2012, IEEE Transactions on Sustainable Energy.
[47] Yongqian Liu,et al. Short-Term Wind-Power Prediction Based on Wavelet Transform–Support Vector Machine and Statistic-Characteristics Analysis , 2011, IEEE Transactions on Industry Applications.
[48] Z. Qian,et al. Fuzzy synthetic method for life assessment of power transformer , 2004 .
[49] A. Kusiak,et al. Monitoring Wind Farms With Performance Curves , 2013, IEEE Transactions on Sustainable Energy.
[50] Yuanzhang Sun,et al. Assessment of the power reduction of wind farms under extreme wind condition by a high resolution simulation model , 2012 .
[51] J. Ribrant,et al. Survey of Failures in Wind Power Systems With Focus on Swedish Wind Power Plants During 1997–2005 , 2007, IEEE Transactions on Energy Conversion.
[52] A. Kusiak,et al. Virtual Models for Prediction of Wind Turbine Parameters , 2010, IEEE Transactions on Energy Conversion.
[53] Andrew Kusiak,et al. Models for monitoring wind farm power , 2009 .
[54] A Kusiak,et al. A Data-Driven Approach for Monitoring Blade Pitch Faults in Wind Turbines , 2011, IEEE Transactions on Sustainable Energy.
[55] Ehsanolah Assareh,et al. A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and GSA evolutionary algorithm , 2015 .
[56] Felix Naumann,et al. Data fusion , 2009, CSUR.
[57] Rasit Ata,et al. Artificial neural networks applications in wind energy systems: a review , 2015 .
[58] Andrew Kusiak,et al. The prediction and diagnosis of wind turbine faults , 2011 .
[59] Peter Tavner,et al. Automated on-line fault prognosis for wind turbine pitch systems using supervisory control and data acquisition. , 2015 .
[60] Jay Lee,et al. Wind turbine performance assessment using multi-regime modeling approach , 2012 .
[61] Jie Yu,et al. Short-term wind speed prediction using an unscented Kalman filter based state-space support vector regression approach , 2014 .