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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Bibliographic Details
Main Authors: Sang-Jae Yeo, Woen-Sug Choi, Suk-Yoon Hong, Jee-Hun Song
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/18/7073