Cargando…
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...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
|
| Materias: | |
| 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 |