Classification of damage for planetary gear of wind turbine simulator
نویسندگان
چکیده
ABSTRACT A planetary gear of a wind turbine is a critical component in the view of condition monitoring and fault detection because the fault of the gear needs much cost and time to fix or replace it. In this paper, classification of damage for a planetary gear is proposed and validated by the experiment of wind turbine simulator in order to evaluate the possibility of the application to fault detection of a real wind turbine. Vibration data for various faults of a gear are acquired in wind turbine simulator. Then, effective metrics induced by the gathered vibration data are determined by using vibration data with constant rotational speed. Finally, classification of damage is performed by using neural network with normalized features and bin concept when rotational speed of wind turbine simulator is varied.
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