Electrical signature analysis-based condition monitoring of wind turbine drivetrain

摘要

This thesis focuses on improvements of Electrical Signature Analysis, in order to enable the implementation of this extremely cost-effective technique to a wide range of wind turbine diagnostic applications. Previous limitations have been quantified in detail and novel solutions have been proposed and validated using a specifically designed QUT test-rig and an innovative full-scale wind turbine simulation model. Major contributions include a novel technique for demodulation of low frequency carriers, the quantification of converter and wind-induced speed fluctuations and their effect on diagnostic capabilities, and the experimental validation of the proposed methods by means of novel realistic experiments.