Failure Mechanism Analysis and Failure Number Prediction of Wind Turbine Blades
Abstract: Pertinent to the
problems that wind turbine blades operate in complicated conditions, frequent failures
and low replacement rate as well as rational inventory need, this paper, we
build a fault tree model based on in-depth analysis of the failure causes. As
the mechanical vibration of the wind turbine takes place first on the blades,
the paper gives a detailed analysis to the Failure mechanism of blade
vibration. Therefore the paper puts forward a dynamic prediction model of wind
turbine blade failure number based on the grey theory. The relative error
between its prediction and the field investigation data is less than 5%, meeting
the actual needs of engineering and verifying the effectiveness and
applicability of the proposed algorithm. It is of important engineering significance
for it to provide a theoretical foundation for the failure analysis, failure
research and inventory level of wind turbine blades.
Author: Yu Chun-yu, Guo
Jian-ying, Xin Shi-guang
Journal Code: jptkomputergg140074
