Back to Search Start Over

Structural health monitoring of 52-meter wind turbine blade: Detection of damage propagation during fatigue testing

Authors :
Mads A. Fremmelev
Purim Ladpli
Esben Orlowitz
Lars O. Bernhammer
Malcolm McGugan
Kim Branner
Source :
Data-Centric Engineering, Vol 3 (2022)
Publication Year :
2022
Publisher :
Cambridge University Press, 2022.

Abstract

This work is concerned with damage detection in a commercial 52-meter wind turbine blade during fatigue testing. Different artificial damages are introduced in the blade in the form of laminate cracks. The lengths of the damages are increased manually, and they all eventually propagate and develop into delaminations during fatigue loading. Strain gauges, acoustic emission sensors, distributed accelerometers, and an active vibration monitoring system are used to track different physical responses in healthy and damaged states of the blade. Based on the recorded data, opportunities and limitations of the different sensing systems for blade structural health monitoring are investigated.

Details

Language :
English
ISSN :
26326736
Volume :
3
Database :
Directory of Open Access Journals
Journal :
Data-Centric Engineering
Publication Type :
Academic Journal
Accession number :
edsdoj.f9c3731d6c544fc19aa6443a585a46f4
Document Type :
article
Full Text :
https://doi.org/10.1017/dce.2022.20