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Flight State Identification of a Self-Sensing Wing via an Improved Feature Selection Method and Machine Learning Approaches
In this work, a data-driven approach for identifying the flight state of a self-sensing wing structure with an embedded multi-functional sensing network is proposed. The flight state is characterized by the structural vibration signals recorded from a series of wind tunnel experiments under varying...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982412/ https://www.ncbi.nlm.nih.gov/pubmed/29710832 http://dx.doi.org/10.3390/s18051379 |