Document Type
Conference Proceeding
Publication Version
Accepted Manuscript
Link to Published Version
http://dx.doi.org/10.1109/ICRERA.2013.6749869
Publication Date
10-1-2013
DOI
10.1109/ICRERA.2013.6749869
Conference Title
2013 International Conference on Renewable Energy Research and Applications
Conference Date
October 20-23, 2013
Geolocation
(40.4167754, -3.7037901999999576)
Abstract
A new image processing technique was investigated to assess its ability to detect surface flaws on an on-tower wind turbine blade (WTB). The method was tested by varying the parameters of the surface flaws as well as the parameters of the method. It was found that detecting and quantifying cracks as small as hair thickness with computer-based optical inspection is feasible and the orientation of a crack was not sensitive to image processing so that the inspection camera does not need to be set up at a specific angle to detect cracks. It was also found that uneven background illumination was significantly reduced by optimizing the threshold value using the Canny method. In addition, the accuracy of quantifying a crack was improved by reducing noise with the intersection of two processed images from Sobel and Canny methods.
Rights
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Citation Information
Huiying Yu and John K. Jackman. "A feasibility study of wind turbine blade surface crack detection using an optical inspection method" Madrid, Spain
2013 International Conference on Renewable Energy Research and Applications (2013) p. 847 - 852
Available at: http://works.bepress.com/john_jackman/18/
This is a manuscript of an proceeding from the International Conference on Renewable Energy Research and Applications (2013): 847, doi:10.1109/ICRERA.2013.6749869.