Review of Nonlinear Filtering for SHM with an Exploration of Novel Higher-Order Kalman Filtering Algorithms for Uncertainty Quantification
2017
AbstractRecent work has shown the applicability of Bayesian inference techniques, which use a physics-based representation of the structure of interest, to structural health monitoring (SHM) tasks,...
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
55
References
13
Citations
NaN
KQI