A Novel Method for the Dynamic Coefficients Identification of Journal Bearings Using Kalman Filter

The dynamic coefficients identification of journal bearings is essential for instability analysis of rotation machinery. Aiming at the measured displacement of a single location, an improvement method associated with the Kalman filter is proposed to estimate the bearing dynamic coefficients. Firstly...

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Detalles Bibliográficos
Autores principales: Kang, Yang, Shi, Zhanqun, Zhang, Hao, Zhen, Dong, Gu, Fengshou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014518/
https://www.ncbi.nlm.nih.gov/pubmed/31968609
http://dx.doi.org/10.3390/s20020565

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014518/
https://www.ncbi.nlm.nih.gov/pubmed/31968609
http://dx.doi.org/10.3390/s20020565

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