DocumentCode
141167
Title
Outdoor Ice Accretion Estimation of Wind Turbine Blades Using Computer Vision
Author
Akhloufi, Moulay ; Benmesbah, Nassim
Author_Institution
Centre de Robot. et de Vision Industrielles, Levis, QC, Canada
fYear
2014
fDate
6-9 May 2014
Firstpage
246
Lastpage
253
Abstract
In this paper, we present a new computer-vision based methodology to address the problem of remote ice detection and measurement on wind turbines operating in cold climate. Icing has a significant impact, affecting the productivity, causing premature wear, malfunction and damages that are hard to track. Manufacturers and operators are facing unpredictable losses that can reach millions of dollars. Algorithms were developed and experimented on images of wind turbines acquired by digital camera in outdoor conditions. Experiments show interesting and promising results for the future.
Keywords
blades; cameras; computer vision; ice; mechanical engineering computing; wear; wind turbines; computer-vision based methodology; damages; digital camera; malfunction; outdoor ice accretion estimation; premature wear; productivity; remote ice detection; wind turbine blades; Blades; Ice; Image color analysis; Image segmentation; Shape; Temperature measurement; Wind turbines; Color vision; ice accretion measurement; image rectification; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision (CRV), 2014 Canadian Conference on
Conference_Location
Montreal, QC
Print_ISBN
978-1-4799-4338-8
Type
conf
DOI
10.1109/CRV.2014.41
Filename
6816850
Link To Document