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Texture analysis for wind turbine fault detection

Author
Mujica, L.E.; Ruiz, M.; Acho, L.; Alferez, E.; Tutivén, C.; Vidal, Y.; Rodellar, J.
Type of activity
Presentation of work at congresses
Name of edition
8th European Workshop on Structural Health Monitoring
Date of publication
2016
Presentation's date
2016-07-06
Book of congress proceedings
8th European Workshop on Structural Health Monitoring (EWSHM 2016): Bilbao, Spain, 5-8 July 2016
First page
1
Last page
10
Publisher
Curran
Repository
http://hdl.handle.net/2117/98002 Open in new window
URL
http://www.ndt.net/events/EWSHM2016/app/content/Paper/334_Mujica.pdf Open in new window
Abstract
The future of wind energy industry passes through the use of larger and more flexible wind turbines in remote locations, which are increasingly offshore to benefit stronger and more uniform wind conditions. Cost of operation and maintenance of offshore wind turbines is among 15-35% of the total cost. From this, 80% comes from unplanned maintenance due to different faults in the wind turbine components. Thus, an auspicious way to contribute to the increasing demands and challenges is by applying ...
Citation
Mujica, L.E., Ruiz, M., Acho, L., Alferez, E., Tutivén, C., Vidal, Y., Rodellar, J. Texture analysis for wind turbine fault detection. A: European Workshop on Structural Health Monitoring. "8th European Workshop on Structural Health Monitoring (EWSHM 2016): Bilbao, Spain, 5-8 July 2016". Bilbao: Curran, 2016, p. 1-10.
Keywords
Digital image processing, Experimental validation, Industrial applications, Modeling, Smart structures, Texture analysis
Group of research
CoDAlab - Control, Dynamics and Applications

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