BibTeX
@MISC{Kossivas_in-servicedeployment,
author = {T Kossivas},
title = {IN-SERVICE DEPLOYMENT},
year = {}
}
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Abstract
Wind turbines experience long term fluctuating variable amplitude fatigue loads with occasional large amplitude stochastic peak loads. The fatigue loads are usually characterised by a mean load with a fixed amplitude oscillation superimposed; the stochastic peak loads by modelled peak loads, such as the fifty year gust. A methodology for wind turbine blade monitoring using acoustic emission (AE) detection of damage processes in the structure has been developed by the AEGIS consortium, supported by the European Commission. The methodology has been developed separately for the peak load events and the more usual operational fatigue loading. It can be applied as an enhancement to the conventional blade certification test and has the potential to be adapted to large-scale field application of the techniques on operational wind turbines. Wind turbine blade certification tests are carried out to validate design and production. AE monitoring during all stages of a test can both locate and characterise damage processes in blades, starting with non-audible signals
Keyphrases
in-service deployment wind turbine blade monitoring conventional blade certification test large-scale field application mean load fixed amplitude oscillation peak load event usual operational fatigue loading european commission long term modelled peak load stochastic peak load fatigue load damage process acoustic emission ae monitoring wind turbine blade certification test operational wind turbine non-audible signal variable amplitude fatigue load characterise damage aegis consortium fifty year gust wind turbine
