Book reviews
- 作者J. E. Bigio; S. S. Athreye; Nicolai J. Foss; G. S. Mani; Mario Amendola; Alain Alcouffe; M. P. Bès; F. Holzheu
- 卷第6卷
- 期第4期
- 印刷ISSN0936-9937
- 电子ISSN1432-1386
- 文件大小1078.57KB
- 发表时间1996
- DOI10.1007/bf01202279
- 页码425-437
Gaussian Process Operational Curves for Wind Turbine Condition MonitoringPandit, Ravi; Infield, David · Energies · 2018
SCADA based nonparametric models for condition monitoring of a wind turbinePandit, Ravi Kumar; Infield, David · The Journal of Engineering · 2019
Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracyPandit, Ravi Kumar; Infield, David; Carroll, James · Wind Energy · 2018
SCADA-based wind turbine anomaly detection using Gaussian process models for wind turbine condition monitoring purposesPandit, Ravi Kumar; Infield, David · IET Renewable Power Generation · 2018
Comparative analysis of Gaussian Process power curve models based on different stationary covariance functions for the purpose of improving model accuracyPandit, Ravi Kumar; Infield, David · Renewable Energy · 2019
Comparative analysis of binning and Gaussian Process based blade pitch angle curve of a wind turbine for the purpose of condition monitoringPandit, Ravi Kumar; Infield, David · Journal of Physics: Conference Series · 2018
Comparative assessments of binned and support vector regression-based blade pitch curve of a wind turbine for the purpose of condition monitoringPandit, Ravi Kumar; Infield, David · International Journal of Energy and Environmental Engineering · 2018
[IEEE 2017 6th International Conference on Clean Electrical Power (ICCEP) - Santa Margherita Ligure, Italy (2017.6.27-2017.6.29)] 2017 6th International Conference on Clean Electrical Power (ICCEP) - Using Gaussian process theory for wind turbine power curve analysis with emphasis on the confidence intervalsPandit, Ravi Kumar; Infield, David · 2017