Structural Health Monitoring Impact Classification Method Based on Bayesian Neural Network

Structural Health Monitoring Impact Classification Method Based on Bayesian Neural Network

This paper proposes a novel method for multi-class classification and uncertainty quantification of impact events on a flat composite plate with a structural health monitoring (SHM) system by using a Bayesian neural network (BNN). Most of the existing research in passive sensing has focused on deter...

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Bibliographic Details
Main Authors: Haofan Yu, Aldyandra Hami Seno, Zahra Sharif Khodaei, M. H. Ferri Aliabadi
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Polymers
Subjects:
structural health monitoring
passive sensing
impact classification
Bayesian neural network
artificial neural network
uncertainty measurement
Online Access:https://www.mdpi.com/2073-4360/14/19/3947

Internet

https://www.mdpi.com/2073-4360/14/19/3947

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