An improved CS-LSSVM algorithm-based fault pattern recognition of ship power equipments

A ship power equipments’ fault monitoring signal usually provides few samples and the data’s feature is non-linear in practical situation. This paper adopts the method of the least squares support vector machine (LSSVM) to deal with the problem of fault pattern identification in the case of small sa...

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Detalles Bibliográficos
Autores principales: Yang, Yifei, Tan, Minjia, Dai, Yuewei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5300116/
https://www.ncbi.nlm.nih.gov/pubmed/28182678
http://dx.doi.org/10.1371/journal.pone.0171246

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5300116/
https://www.ncbi.nlm.nih.gov/pubmed/28182678
http://dx.doi.org/10.1371/journal.pone.0171246

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