A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle

A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle

This paper proposes a new two-stage machine learning approach for bridge damage detection using the responses measured on a passing vehicle. In the first stage, an artificial neural network (ANN) is trained using the vehicle responses measured from multiple passes (training data set) over a healthy...

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Bibliographic Details
Main Authors: Abdollah Malekjafarian, Fatemeh Golpayegani, Callum Moloney, Siobhán Clarke
Format: Article
Language:English
Published: MDPI AG 2019-09-01
Series:Sensors
Subjects:
drive-by
bridge
damage detection
machine learning
artificial neural network
Online Access:https://www.mdpi.com/1424-8220/19/18/4035

Internet

https://www.mdpi.com/1424-8220/19/18/4035

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