DocumentCode :
662779
Title :
Visual testing system for the damaged area detection of wind power plant blade
Author :
Dong Yeop Kim ; Hyo-Bin Kim ; Woo Sung Jung ; Sun Lim ; Jung-Hoon Hwang ; Chang-Woo Park
Author_Institution :
Korea Electron. Technol. Inst., Seongnam, South Korea
fYear :
2013
fDate :
24-26 Oct. 2013
Firstpage :
1
Lastpage :
5
Abstract :
For the maintenance of wind power turbine blade, we have researched robot platforms and sensor systems. In this paper, we proposed VT (Visual Testing)-based damage detection system based on pan-tilt zoom camera system. VT is a basic but indispensable NDT (Non-Destructive Testing) for wind turbine blade. Additionally, this fixed-type damage detection system can be applied for robot localization on the wind power blade. Our experiments show that the sensor system using pan-tilt zoom camera can detect damage on the blades, localization algorithm is feasible, and the system can be deployed in wind power farm.
Keywords :
blades; cameras; condition monitoring; fault diagnosis; maintenance engineering; nondestructive testing; robot vision; wind turbines; NDT; damage detection; maintenance; nondestructive testing; pan-tilt zoom camera system; robot localization; robot platforms; sensor systems; visual testing system; wind power farm; wind power plant blade; Cameras; Optical fiber sensors; Robot vision systems; Testing; Visualization; Damaged Area Detection; NDT (Non-Destructive Testing); VT (Visual Testing); Wind Power Plant Blade;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics (ISR), 2013 44th International Symposium on
Conference_Location :
Seoul
Type :
conf
DOI :
10.1109/ISR.2013.6695675
Filename :
6695675
Link To Document :
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