Quantile regression neural network‐based fault detection scheme for wind turbines with application to monitoring a bearing
暂无分享,去创建一个
[1] A. Kusiak,et al. Monitoring Wind Farms With Performance Curves , 2013, IEEE Transactions on Sustainable Energy.
[2] Antonio Messineo,et al. Monitoring of wind farms’ power curves using machine learning techniques , 2012 .
[3] David Infield,et al. Online wind turbine fault detection through automated SCADA data analysis , 2009 .
[4] Francesc Pozo,et al. Wind turbine fault detection and classification by means of image texture analysis , 2018, Mechanical Systems and Signal Processing.
[5] Michel Kinnaert,et al. Model Based Fault Detection for Wind Turbines using SCADA Data , 2015 .
[6] James W. Taylor. A Quantile Regression Neural Network Approach to Estimating the Conditional Density of Multiperiod Returns , 2000 .
[7] Michel Kinnaert,et al. Model‐based fault detection for generator cooling system in wind turbines using SCADA data , 2016 .
[8] Xiandong Ma,et al. Nonlinear system identification for model-based condition monitoring of wind turbines , 2014 .
[9] Qifa Xu,et al. Composite quantile regression neural network with applications , 2017, Expert Syst. Appl..
[10] Peng Qian,et al. Wind Turbine Fault Detection and Identification Through PCA-Based Optimal Variable Selection , 2018, IEEE Transactions on Sustainable Energy.
[11] Dominique Picard,et al. Statistical learning for wind power: A modeling and stability study towards forecasting , 2016, 1610.01000.
[12] Sofiane Achiche,et al. Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 1: System description , 2013, Appl. Soft Comput..
[13] Andrew Kusiak,et al. Analyzing bearing faults in wind turbines: A data-mining approach , 2012 .
[14] Yingning Qiu,et al. Wind turbine SCADA alarm analysis for improving reliability , 2012 .
[15] Peter Tavner,et al. Wind turbine pitch faults prognosis using a-priori knowledge-based ANFIS , 2013, Expert Syst. Appl..
[16] Esmaeil S. Nadimi,et al. Wind turbine performance analysis based on multivariate higher order moments and Bayesian classifiers , 2016 .
[17] B. Stephen,et al. Wind Turbine Condition Assessment Through Power Curve Copula Modeling , 2012, IEEE Transactions on Sustainable Energy.
[18] Paul Fleming,et al. Use of SCADA Data for Failure Detection in Wind Turbines , 2011 .
[19] Ahmet Serdar Yilmaz,et al. Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks , 2009, Expert Syst. Appl..
[20] Lina Bertling Tjernberg,et al. An Artificial Neural Network Approach for Early Fault Detection of Gearbox Bearings , 2015, IEEE Transactions on Smart Grid.
[21] Ole Winther,et al. Deep learning for automated drivetrain fault detection , 2018 .
[22] Donald M. Hepburn,et al. Detection and classification of faults in pitch-regulated wind turbine generators using normal behaviour models based on performance curves , 2017 .
[23] Lina Bertling Tjernberg,et al. Analysis of SCADA data for early fault detection with application to the maintenance management of wind turbines , 2016 .
[24] Xiao Lei,et al. A generalized model for wind turbine anomaly identification based on SCADA data , 2016 .
[25] Lamine Thiaw,et al. A neural network based approach for wind resource and wind generators production assessment , 2010 .
[26] Sofia Koukoura,et al. Wind turbine gearbox failure and remaining useful life prediction using machine learning techniques , 2018, Wind Energy.
[27] M. Lydia,et al. Advanced Algorithms for Wind Turbine Power Curve Modeling , 2013, IEEE Transactions on Sustainable Energy.
[28] Antoine Tahan,et al. Power curve monitoring using weighted moving average control charts , 2016 .
[29] Meik Schlechtingen,et al. Wind turbine condition monitoring based on SCADA data using normal behavior models. Part 2: Application examples , 2014, Appl. Soft Comput..
[30] P. Pinson,et al. Adaptive robust polynomial regression for power curve modeling with application to wind power forecasting , 2016 .
[31] A. Kusiak,et al. Modeling wind-turbine power curve: A data partitioning and mining approach , 2017 .
[32] James F. Manwell,et al. Condition monitoring and prognosis of utility scale wind turbines , 2006 .
[33] 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..
[34] Alex J. Cannon. Quantile regression neural networks: Implementation in R and application to precipitation downscaling , 2011, Comput. Geosci..