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Title:

Improving defect detection in wind turbine blades with psychoacoustic means and prediction models

Document type:
Konferenzbeitrag
Author(s):
Seeber, B.U.; Andreisek, G.
Pages contribution:
7720
Editor:
Martin Ochmann, Michael Vorländer, Janina Fels
Book / Congress title:
Proc. 23rd International Congress on Acoustics, integrating 4th EAA Euroregio 2019
Organization:
Deutsche Ges. für Akustik e.V. (DEGA)
Year:
2019
Month:
Sep
Print-ISBN:
978-3-939296-15-7
TUM Institution:
Professur für Audio-Signalverarbeitung
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