Machine Learning and Signal Processing for Bridge Traffic Classification with Radar Displacement Time-Series Data

Machine Learning and Signal Processing for Bridge Traffic Classification with Radar Displacement Time-Series Data

This paper introduces a novel nothing-on-road (NOR) bridge weigh-in-motion (BWIM) approach with deep learning (DL) and non-invasive ground-based radar (GBR) time-series data. BWIMs allow site-specific structural health monitoring (SHM) but are usually difficult to attach and maintain. GBR measures t...

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Bibliographic Details
Main Authors: Matthias Arnold, Sina Keller
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Infrastructures
Subjects:
bridge weigh-in-motion
ground-based radar
bridge monitoring
deep learning
MiniRocket
feature extraction
Online Access:https://www.mdpi.com/2412-3811/9/3/37

Internet

https://www.mdpi.com/2412-3811/9/3/37

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