Bayesian modal identification method based on general coherence model for asynchronous ambient data
A Bayesian frequency domain method for modal identification using asynchronous ambient data has been proposed previously. It provides a flexible and economical way to conduct ambient vibration tests as time synchronisation among data channels is not required. To simplify computation, zero coherence...
Saved in:
Main Authors: | Zhu, Yi-Chen, Au, Siu-Kui |
---|---|
Other Authors: | School of Civil and Environmental Engineering |
Format: | Article |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/149990 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Bayesian data driven model for uncertain modal properties identified from operational modal analysis
by: Zhu, Yi-Chen, et al.
Published: (2020) -
Identifying modal properties of trees with Bayesian inference
by: Burcham, Daniel C., et al.
Published: (2022) -
Understanding and managing identification uncertainty of close modes in operational modal analysis
by: Au, Siu-Kui, et al.
Published: (2020) -
Bayesian operational modal analysis of structures with tuned mass damper
by: Wang, Xinrui, et al.
Published: (2022) -
Treatment and effect of noise modelling in Bayesian operational modal analysis
by: Ma, Xinda, et al.
Published: (2022)