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<p>Novel Method for Wind Turbines Blades Damage Classification using Image Processing</p>

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Title Statement <p>Novel Method for Wind Turbines Blades Damage Classification using Image Processing</p>
 
Added Entry - Uncontrolled Name Garduño-Ramón, M A; HSPdigital – CA Mecatronica, Facultad de Ingenieria Campus San Juan del Rio, Universidad Autonoma de Queretaro, Rio Moctezuma 249, 76807 San Juan del Rio, Queretaro, Mexico
Resendiz-Ochoa, E ; HSPdigital – CA Mecatronica, Facultad de Ingenieria Campus San Juan del Rio, Universidad Autonoma de Queretaro, Rio Moctezuma 249, 76807 San Juan del Rio, Queretaro, Mexico
Morales-Hernandez, L A; HSPdigital – CA Mecatronica, Facultad de Ingenieria Campus San Juan del Rio, Universidad Autonoma de Queretaro, Rio Moctezuma 249, 76807 San Juan del Rio, Queretaro, Mexico
Osornio-Rios, R A; HSPdigital – CA Mecatronica, Facultad de Ingenieria Campus San Juan del Rio, Universidad Autonoma de Queretaro, Rio Moctezuma 249, 76807 San Juan del Rio, Queretaro, Mexico
 
Uncontrolled Index Term Crack; Dimensional features; Generators; HAWT; Edge erosion
 
Summary, etc. <p class="Abstract" style="text-align: justify;">Wind turbine generators are spreading around the world due to its advantages over fossil fuels. Structural monitoring of them is important to increase operation and reduce maintenance times. Visual inspection is highly influenced by the human factor due to the working conditions. Image processing supported by vision systems offers high advantages reducing times, being the software and processing algorithms, which generates added value. In this paper, a novel method for wind turbines blades damages analysis is presented using image processing and a classifier based on dimensional features. The image acquisition is performed using a reflex camera with a telephoto and geo-location enabled. The faults analyzed include cracks, edge erosion, and electric discharge.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2021-01-11 11:27:31
 
Electronic Location and Access application/pdf
http://op.niscair.res.in/index.php/JSIR/article/view/44959
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 80, ##issue.no## 01 (21)
 
Language Note en