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Open AccessArticle

Realtime Localization and Estimation of Loads on Aircraft Wings from Depth Images

1
Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul 34956, Turkey
2
Integrated Manufacturing Technologies Research and Application Center, Sabanci University, Istanbul 34906, Turkey
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(12), 3405; https://doi.org/10.3390/s20123405
Received: 16 May 2020 / Revised: 11 June 2020 / Accepted: 12 June 2020 / Published: 16 June 2020
(This article belongs to the Special Issue Optical Sensors for Structural Health Monitoring)
This paper deals with the development of a realtime structural health monitoring system for airframe structures to localize and estimate the magnitude of the loads causing deflections to the critical components, such as wings. To this end, a framework that is based on artificial neural networks is developed where features that are extracted from a depth camera are utilized. The localization of the load is treated as a multinomial logistic classification problem and the load magnitude estimation as a logistic regression problem. The neural networks trained for classification and regression are preceded with an autoencoder, through which maximum informative data at a much smaller scale are extracted from the depth features. The effectiveness of the proposed method is validated by an experimental study performed on a composite unmanned aerial vehicle (UAV) wing subject to concentrated and distributed loads, and the results obtained by the proposed method are superior when compared with a method based on Castigliano’s theorem. View Full-Text
Keywords: structural health monitoring; load localization; load estimation; depth sensor; artificial neural networks; castigliano’s theorem structural health monitoring; load localization; load estimation; depth sensor; artificial neural networks; castigliano’s theorem
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MDPI and ACS Style

Bilal, D.K.; Unel, M.; Yildiz, M.; Koc, B. Realtime Localization and Estimation of Loads on Aircraft Wings from Depth Images. Sensors 2020, 20, 3405. https://doi.org/10.3390/s20123405

AMA Style

Bilal DK, Unel M, Yildiz M, Koc B. Realtime Localization and Estimation of Loads on Aircraft Wings from Depth Images. Sensors. 2020; 20(12):3405. https://doi.org/10.3390/s20123405

Chicago/Turabian Style

Bilal, Diyar K.; Unel, Mustafa; Yildiz, Mehmet; Koc, Bahattin. 2020. "Realtime Localization and Estimation of Loads on Aircraft Wings from Depth Images" Sensors 20, no. 12: 3405. https://doi.org/10.3390/s20123405

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