Cargando…
A Bayesian Approach for Sensor Optimisation in Impact Identification
This paper presents a Bayesian approach for optimizing the position of sensors aimed at impact identification in composite structures under operational conditions. The uncertainty in the sensor data has been represented by statistical distributions of the recorded signals. An optimisation strategy b...
Autores principales: | Mallardo, Vincenzo, Sharif Khodaei, Zahra, Aliabadi, Ferri M. H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5457245/ https://www.ncbi.nlm.nih.gov/pubmed/28774064 http://dx.doi.org/10.3390/ma9110946 |
Ejemplares similares
-
Structural Health Monitoring Impact Classification Method Based on Bayesian Neural Network
por: Yu, Haofan, et al.
Publicado: (2022) -
Impact Damage Localisation with Piezoelectric Sensors under Operational and Environmental Conditions
por: Salmanpour, Mohammad Saleh, et al.
Publicado: (2017) -
Influence of Composite Thickness on Ultrasonic Guided Wave Propagation for Damage Detection
por: Feng, Tianyi, et al.
Publicado: (2022) -
Structural Health Monitoring Cost Estimation of a Piezosensorized Aircraft Fuselage
por: Giannakeas, Ilias N., et al.
Publicado: (2022) -
An Innovative Diagnostic Film for Structural Health Monitoring of Metallic and Composite Structures
por: Bekas, Dimitrios G., et al.
Publicado: (2018)