Particle filtering‐based adaptive training of neural networks for real‐time structural damage diagnosis and prognosis
Author:
Affiliation:
1. Dipartimento di MeccanicaPolitecnico di Milano Milan Italy
2. SGT IncNASA Ames Research Center Moffett Field CA USA
Publisher
Wiley
Subject
Mechanics of Materials,Building and Construction,Civil and Structural Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/stc.2451
Reference42 articles.
1. Particle Filtering for the Detection of Fault Onset Time in Hybrid Dynamic Systems With Autonomous Transitions
2. A particle filter-based model selection algorithm for fatigue damage identification on aeronautical structures
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4. Impact load identification for composite structures using Bayesian regularization and unscented Kalman filter
5. Model-based and data-driven prognostics under different available information
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