Detection of quadcopter propeller failure by machine learning methods
The paper presents a study of options for detecting a failure or defect in the propeller of an unmanned aircraft system (quadcopter) using machine learning methods. An original accuracy evaluation of the known algorithms using in practice the data obtained from the quadcopter in its flight condition...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)
2022-04-01
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| Series: | Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
| Subjects: | |
| Online Access: | https://ntv.ifmo.ru/file/article/21156.pdf |