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