Journal Article

Analysis and prediction of wind turbine bolts based on GPR method

Pang, Qianzhi, Wang, Yonghe, Huang, Hua

2023

Overview

With the variance of preload and vibration in working conditions, wind turbine bolt loosening is difficult to predict accurately. To address the problem, wind turbine bolts are employed as the study object, and the loosening mechanism of bolts as well as the prediction of preload variation are investigated by means of finite element analysis. The result shows that, under the action of transverse vibration load, the magnitude of vibration load is the main factor affecting the loosening, and the larger the load magnitude, the more likely the loosening occurs. Besides, a bolt loosening prediction model based on Gaussian process regression is developed to obtain confidence intervals for the variation of the preload in a probabilistic sense. This study provides a theoretical basis for solving the problem of bolt loosening and preload relaxation in wind power under vibration conditions, and improves the safety and reliability of wind turbine operation.

• Publisher: Korean Society of Mechanical Engineers,Springer Nature B.V,대한기계학회
• Subject: Bolts / Control / Dynamical Systems / Engineering / Finite element method / Gaussian process / Industrial and Production Engineering / Load / Loosening / Mathematical models / Mechanical Engineering / Original Article / Prediction models / Random vibration / Simulation / Statistical analysis / Transverse oscillation / Turbines / Vibration / Vibration analysis / Wind power / Wind turbines / 기계공학