HKF-SVR Optimized by Krill Herd Algorithm for Coaxial Bearings Performance Degradation Prediction

In real industrial applications, bearings in pairs or even more are often mounted on the same shaft. So the collected vibration signal is actually a mixed signal from multiple bearings. In this study, a method based on Hybrid Kernel Function-Support Vector Regression (HKF–SVR) whose parameters are o...

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Detalles Bibliográficos
Autores principales: Liu, Fang, Li, Liubin, Liu, Yongbin, Cao, Zheng, Yang, Hui, Lu, Siliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038319/
https://www.ncbi.nlm.nih.gov/pubmed/31991654
http://dx.doi.org/10.3390/s20030660

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038319/
https://www.ncbi.nlm.nih.gov/pubmed/31991654
http://dx.doi.org/10.3390/s20030660

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