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A Convolutional Neural Network-Based Method of Inverter Fault Diagnosis in a Ship’s DC Electrical System Cover

A Convolutional Neural Network-Based Method of Inverter Fault Diagnosis in a Ship’s DC Electrical System

Polish Maritime Research
Volume 29 (2022): Issue 4 (December 2022)
By: Guohua Yan,  Yihuai Hu and  Qingguo Shi  
Open Access
|Dec 2022

Authors

Guohua Yan

Merchant Marine College, Shanghai Maritime University, China

Yihuai Hu

yhhu@shmtu.edu.cn

Merchant Marine College, Shanghai Maritime University, China

Qingguo Shi

Merchant Marine College, Shanghai Maritime University, China
DOI: https://doi.org/10.2478/pomr-2022-0048 | Journal eISSN: 2083-7429 | Journal ISSN: 1233-2585
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Language: English
Page range: 105 - 114
Published on: Dec 21, 2022
Published by: Gdansk University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Multi-energy hybrid ships,
Inverters,
Fault diagnosis,
CNN
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other,
Geosciences,
Atmospheric science and climatology,
Life sciences,
Life sciences, other

© 2022 Guohua Yan, Yihuai Hu, Qingguo Shi, published by Gdansk University of Technology
This work is licensed under the Creative Commons Attribution 4.0 License.

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