Fault Detection of Bearing Systems through EEMD and Optimization Algorithm

This study proposes a fault detection and diagnosis method for bearing systems using ensemble empirical mode decomposition (EEMD) based feature extraction, in conjunction with particle swarm optimization (PSO), principal component analysis (PCA), and Isomap. First, a mathematical model is assumed to...

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Detalles Bibliográficos
Autores principales: Lee, Dong-Han, Ahn, Jong-Hyo, Koh, Bong-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713071/
https://www.ncbi.nlm.nih.gov/pubmed/29143772
http://dx.doi.org/10.3390/s17112477

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5713071/
https://www.ncbi.nlm.nih.gov/pubmed/29143772
http://dx.doi.org/10.3390/s17112477

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