Enhanced convolutional neural network for in situ auv thruster health monitoring using acoustic signals

HIGHLIGHTS

• who: Sang-Jae Yeo et al. from the Department of Naval Architecture and Ocean Engineering, Seoul National University, Seoul , have published the paper: Enhanced Convolutional Neural Network for In Situ AUV Thruster Health Monitoring Using Acoustic Signals, in the Journal: Sensors 2022, 22, 7073. of 19/09/2022
• what: In this study a system that can monitor the health of in situ AUV thrusters using a convolutional neural network (CNN) was developed. In this study, the flow noise generated from AUV was calculated by applying Formulation 1A. In this study, the final CNN architecture is . . .
  

   

  

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