A survey of wind turbine control monitoring and fault detection on wind energy
作者
M. Kokila,P. Isakki
标识
DOI:10.1109/icctide.2016.7725341
摘要
Most applications of data mining had been overwhelming in a wind turbine energy system reviewed. Wind power prediction is the biggest challenges in the world. Wind energy research, involving wind turbine control, Turbine monitoring and to detection of fault are surveyed. To monitor the wind farm performance, three types of curve include the power curve, blade curve, rotor curve are presented. Particular faulty components are identified. Wind turbine conditions are monitored and fault defects are analyzed. This paper's aim is to predict wind turbine fault and replaced the faulty components. Data mining techniques used for wind turbine energy is focused.