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Durham University

Department of Engineering

Staff Profile

Publication details for Dr Christopher Crabtree

Yang, W, Tavner, P. J. & Crabtree, C. J. (2009), An Intelligent Approach to the Condition Monitoring of Large Scale Wind Turbines, European Wind Energy Conference, Scientific Track. Marseille, France, European Wind Energy Association, Marseille.
  • Publication type: Conference Paper

Author(s) from Durham

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.