Advanced Tools for Damage Detection in Wind Turbines

Abstract:

The paper summarises some advanced damage detection approaches used for Structural Health Monitoring (SHM) and Condition Monitoring (CM) of wind turbine systems. In the signal processing part, recent time-frequency analysis methods will be presented and examples of their application on condition monitoring of gearboxes will be given. In the pattern recognition part, examples of damage detection in blades will be used to introduce different algorithms for novelty detection.

• Periodical: Key Engineering Materials (Volumes 569-570)
• Pages: 547-554
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.569-570.547
• Online since: July 2013
• Authors: Ifigeneia Antoniadou, Nikolaos Dervilis, Robert J. Barthorpe, Graeme Manson, Keith Worden
• Keywords: Pattern Recognition, Structural Health Monitoring of Wind Turbines, Time-Frequency Analysis

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