A Bayesian Approach for Sensor Optimisation in Impact Identification

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...

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Bibliographic Details
Main Authors: Vincenzo Mallardo, Zahra Sharif Khodaei, Ferri M. H. Aliabadi
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Materials
Subjects:
probability of detection
sensor malfunctioning
genetic algorithm
non-linear finite element method
artificial neural network
structural health monitoring
Online Access:http://www.mdpi.com/1996-1944/9/11/946

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http://www.mdpi.com/1996-1944/9/11/946

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