Fault Diagnosis Technology for Ship Electrical Power System
Fault Diagnosis Technology for Ship Electrical Power System
About this item
Full title
Author / Creator
Yu, Chaochun , Qi, Liang , Sun, Jie , Jiang, Chunhui , Su, Jun and Shu, Wentao
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
This paper proposes a fault diagnosis method for ship electrical power systems on the basis of an improved convolutional neural network (CNN) to support normal ship operation. First, according to the mathematical model of the ship electrical power system, the simulation model of the ship electrical power system is built using the MATLAB/Simulink si...
Alternative Titles
Full title
Fault Diagnosis Technology for Ship Electrical Power System
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_283e407fd22641f38175144fc5d40d7a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_283e407fd22641f38175144fc5d40d7a
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en15041287
