An Intelligent Approach to the Condition Monitoring of
Large Scale Wind Turbines

Yang, W; Tavner, P.J.; Crabtree, C.J.

Abstract

In view of the limitations of the condition monitoring (CM) techniques nowadays available for wind turbines (WTs), a fully intelligent condition monitoring technique has been developed in this paper using Empirical Mode Decomposition (EMD). The EMD method is characterized by its powerful apability in processing non-stationary and nonlinear signals and by being an efficient sifting algorithm. The effectiveness and the merits of the proposed technique in wind turbine condition monitoring have been experimentally validated on a Wind Turbine Condition Monitoring Test Rig.

Citation

Large Scale Wind Turbines. Presented at European Wind Energy Conference, Scientific Track, Marseille, France

• Presentation Conference Type: Conference Paper (published)
• Conference Name: European Wind Energy Conference, Scientific Track
• Publication Date: 2009-04
• Deposit Date: May 12, 2010
• Public URL: https://durham-repository.worktribe.com/output/1160532