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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| 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 |