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Enhanced Convolutional Neural Network for In Situ AUV Thruster Health Monitoring Using Acoustic Signals
As the demand for ocean exploration increases, studies are being actively conducted on autonomous underwater vehicles (AUVs) that can efficiently perform various missions. To successfully perform long-term, wide-ranging missions, it is necessary to apply fault diagnosis technology to AUVs. In this s...
Autores principales: | Yeo, Sang-Jae, Choi, Woen-Sug, Hong, Suk-Yoon, Song, Jee-Hun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502450/ https://www.ncbi.nlm.nih.gov/pubmed/36146422 http://dx.doi.org/10.3390/s22187073 |
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