Fault Detection of Roller-Bearings Using Signal Processing and Optimization Algorithms

This study presents a fault detection of roller bearings through signal processing and optimization techniques. After the occurrence of scratch-type defects on the inner race of bearings, variations of kurtosis values are investigated in terms of two different data processing techniques: minimum ent...

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Detalles Bibliográficos
Autores principales: Kwak, Dae-Ho, Lee, Dong-Han, Ahn, Jong-Hyo, Koh, Bong-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926558/
https://www.ncbi.nlm.nih.gov/pubmed/24368701
http://dx.doi.org/10.3390/s140100283

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3926558/
https://www.ncbi.nlm.nih.gov/pubmed/24368701
http://dx.doi.org/10.3390/s140100283

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