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Deep-Learning fault detection and classification on a UAV propulsion system
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| Author(s) |
Pierre-Yves BRULIN |
| Abstract |
A fault detection and identification method using a Deep-Learning classification method is used to identify several faults that may occur on a UAV propulsion system. Training is performed from a dataset acquired from a simplified multiphysics simulation of the system which allows for the generation of large datasets of modular, interconnected and scalable components of various sizes and performances. We aim to provide a model able to identify faults occurring on a propulsion system using a reduced set of input signals. |
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| Filename: | 0548-epe2022-full-11053256.pdf |
| Filesize: | 753.1 KB |
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| Type |
Members Only |
| Date |
Last modified 2023-09-24 by System |
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