Enhancing the Capacity of Detecting and Classifying Cavitation Noise Generated from Propeller Using the Convolution Neural Network-Reference-Cited by-同舟云学术

Enhancing the Capacity of Detecting and Classifying Cavitation Noise Generated from Propeller Using the Convolution Neural Network

Published:2021 Issue: Volume: Page:268-275
ISSN:1867-8211
Container-title:Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Author:

Bach Hoang Nhat,Van Nguyen Duc,Le Vu Ha

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-77424-0_22

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4. Tao, R., Feng, Y., Wang, Y.: Theoretical and experimental study of a signal feature extraction algorithm for measuring propeller acceleration in a port surveillance system. IET Radar Sonar Navig 5(2), 172–181 (2011)

5. Lennartsson, R., Dalberg, E., Persson, L., Petrovic, S.: Passive acoustic detection and classification of divers in harbor environments. In: OCEANS 2009, Biloxi, pp. 1–7 (2009)

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