Using Convolutional Neural Networks to Automate Aircraft Maintenance Visual Inspection

Using Convolutional Neural Networks to Automate Aircraft Maintenance Visual Inspection

Convolutional Neural Networks combined with autonomous drones are increasingly seen as enablers of partially automating the aircraft maintenance visual inspection process. Such an innovative concept can have a significant impact on aircraft operations. Though supporting aircraft maintenance engineer...

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Bibliographic Details
Main Authors: Anil Doğru, Soufiane Bouarfa, Ridwan Arizar, Reyhan Aydoğan
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Aerospace
Subjects:
aircraft maintenance inspection
anomaly detection
defect inspection
convolutional neural networks
Mask R-CNN
generative adversarial networks
Online Access:https://www.mdpi.com/2226-4310/7/12/171

Internet

https://www.mdpi.com/2226-4310/7/12/171

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