Health status identification of catenary based on VMD and FA-ELM
Health status identification of catenary based on VMD and FA-ELM
About this item
Full title
Author / Creator
Yi, Lingzhi , Guo, You , Liu, Nian , Zhao, Jian , Li, Wang and Sun, Junyong
Publisher
London, England: SAGE Publications
Journal title
Language
English
Formats
Publication information
Publisher
London, England: SAGE Publications
Subjects
More information
Scope and Contents
Contents
Catenary works as a key part in the electric railway traction power supply system, which is exposed outdoors for a long time and the failure rate is very high. Once a failure occurs, it will directly affect the driving safety. Based on the above, a model of identifying the health status for the catenary based on firefly algorithm optimized extreme...
Alternative Titles
Full title
Health status identification of catenary based on VMD and FA-ELM
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_19952db04123411ebdd0bf3c9737685a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_19952db04123411ebdd0bf3c9737685a
Other Identifiers
ISSN
1748-3018
E-ISSN
1748-3026
DOI
10.1177/17483026211024898
