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A Self-Adaptive 1D Convolutional Neural Network for Flight-State Identification
The vibration of a wing structure in the air reflects coupled aerodynamic–mechanical responses under varying flight states that are defined by the angle of attack and airspeed. It is of great challenge to identify the flight state from the complex vibration signals. In this paper, a novel one-dimens...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6358821/ https://www.ncbi.nlm.nih.gov/pubmed/30641961 http://dx.doi.org/10.3390/s19020275 |