EMISSION & NDT SCIENTIFIC PUBLICATIONS
Damage Classification of Acoustic Emission using AEGIS
Pattern Recognition Software From Ten Small Wind Turbine
Global Windpower, 2-5 April 2002, Paris,
M. J. Blanch, D. A. Kouroussis, A. A. Anastassopoulos, V. N.
Nikolaidis, A. Proust, A. G. Dutton, L. E. Jones, P. Vionis,
D. J. Lekou, D R V van Delft, P. A. Joosse, T. P.
Philippidis, T Kossivas, G Fernando
Current wind turbine blade
certification requires static and fatigue tests on the blade,
to assess whether the blade can sustain the applied loads.
Within the scope of a current EC-funded research project,
acoustic emission (AE) monitoring has been extensively
applied during a series of 10 small blade tests. The AEGIS
Pattern Recognition Software (PRS) was specially written and
applied to the AE data to grade any “critical” class of AE
data which might appear close to failure. This has enabled
the formulation of specific criteria which can automatically
assess criticality of damage both during static and fatigue