Fully Adaptive Particle Filtering Algorithm for Damage Diagnosis and Prognosis

A fully adaptive particle filtering algorithm is proposed in this paper which is capable of updating both state process models and measurement models separately and simultaneously. The approach is a significant step toward more realistic online monitoring or tracking damage. The majority of the exis...

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Detalles Bibliográficos
Autores principales: Rabiei, Elaheh, Droguett, Enrique Lopez, Modarres, Mohammad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512593/
https://www.ncbi.nlm.nih.gov/pubmed/33265191
http://dx.doi.org/10.3390/e20020100

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512593/
https://www.ncbi.nlm.nih.gov/pubmed/33265191
http://dx.doi.org/10.3390/e20020100

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