Prediction of wind turbine generator bearing failure through analysis of high-frequency vibration data and the application of support vector machine algorithms

摘要

Innovations which help facilitate predictive maintenance strategies have the potential to greatly reduce costs associated with wind turbine O&M by driving efficiency and increasing wind turbine availability. This study uses multiple examples of the same g