Open AccessWind Turbine Blade Defect Image Acquisition System
Author(s) -
Ningning Zhang,
Chengzhi Lu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1646/1/012086
Subject(s) - turbine , turbine blade , blade (archaeology) , wind power , software , artificial intelligence , computer science , computer vision , engineering , steam turbine , marine engineering , mechanical engineering , electrical engineering , programming language
The detection of wind turbine blades in service is a difficult problem in wind power operation and maintenance. Wind farms in the quality assurance unit and daily inspection, regular detection of blade is with the aid of SLR camera, then the human recognition, low accuracy and low recognition efficiency. This paper puts forward a set wind turbine blade detection method based on based on artificial intelligence image recognition system. With the help of high definition camera array and image recognition software, a large number of image acquisition and rapid recognition processing are carried out for wind turbine blades in service, and finally the automatic detection of blade surface defects is realized. The feasibility and applicability of this method are verified through field detection, which can be promoted in the field of wind power.