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...

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Detalles Bibliográficos
Autores principales: Yeo, Sang-Jae, Choi, Woen-Sug, Hong, Suk-Yoon, Song, Jee-Hun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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