A feasibility study of wind turbine blade surface crack detection using an optical inspection method

Date
2013-10-01
Authors
Yu, Huiying
Jackman, John
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Journal Issue
Series
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.

Description

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.

Keywords
Blades, Inspection, Surface cracks, Surface treatment, Image edge detection, Maintenance engineering, Lighting
Citation
DOI