Diagnostics of Early Faults in Wind Generator Bearings Using Hjorth Parameters
AC Santos, WA Souza, GV Barbara, MF Castoldi… - Sustainability, 2023 - mdpi.com
Machine learning techniques are a widespread approach to monitoring and diagnosing
faults in electrical machines. These techniques extract information from collected signals …
faults in electrical machines. These techniques extract information from collected signals …
Forecasting Solar Radiation Based on Meteorological Data Using Machine Learning Techniques: A Case Study of Isparta
Solar energy systems which is one of renewable energy sources takes more interest and
gains prevalence day by day. As in other many renewable energy sources, a significant …
gains prevalence day by day. As in other many renewable energy sources, a significant …
Wind Turbine Power Curve Fitting Using Mountain Gazelle Optimizer and Parametric Functions
M Yesilbudak, A Ozcan - 2024 12th International Conference on …, 2024 - ieeexplore.ieee.org
Wind energy represents a substantial renewable resource with its vast potential for electricity
generation. In wind energy systems, power curve fitting is an important requirement not only …
generation. In wind energy systems, power curve fitting is an important requirement not only …