Classification of Surface Vehicle Propeller Cavitation Noise Using Spectrogram Processing in Combination with Convolution Neural Network

This paper proposes a method to enhance the quality of detecting and classifying surface vehicle propeller cavitation noise (VPCN) in shallow water by using the improved Detection Envelope Modulation On Noise (DEMON) algorithm in combination with the modified Convolution Neural Network (CNN). To imp...

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Detalles Bibliográficos
Autores principales: Bach, Nhat Hoang, Vu, Le Ha, Nguyen, Van Duc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151462/
https://www.ncbi.nlm.nih.gov/pubmed/34065910
http://dx.doi.org/10.3390/s21103353

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8151462/
https://www.ncbi.nlm.nih.gov/pubmed/34065910
http://dx.doi.org/10.3390/s21103353

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