Cargando…
Extended Kalman filter algorithm for non-roughness and moving damage identification
It is a promising method to identify structural damage using bridge dynamic response under moving vehicle excitation, but the lack of accurate information about road roughness and vehicle parameters will lead to the failure of this method. The paper proposed a step-by-step EKF damage identification...
Autores principales: | Ding, Hong-li, Zhang, Chun, Gao, Yu-wei, Huang, Jin-peng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9763337/ https://www.ncbi.nlm.nih.gov/pubmed/36536074 http://dx.doi.org/10.1038/s41598-022-26339-z |
Ejemplares similares
-
An Extended Kalman Filter-Based Attitude Tracking Algorithm for Star Sensors
por: Li, Jian, et al.
Publicado: (2017) -
A Nonlinear Integrated Modeling Method of Extended Kalman Filter Based on Adaboost Algorithm
por: Zhou, Feng-Bo, et al.
Publicado: (2021) -
Structure from Motion using the Extended Kalman Filter
por: Civera, Javier, et al.
Publicado: (2012) -
Maximum likelihood-based extended Kalman filter for COVID-19 prediction
por: Song, Jialu, et al.
Publicado: (2021) -
Extended-Kalman-filter-based dynamic mode decomposition for simultaneous system identification and denoising
por: Nonomura, Taku, et al.
Publicado: (2019)