A Hybrid Convolutional and Recurrent Neural Network for Multi-Sensor Pile Damage Detection with Time Series

Machine learning (ML) algorithms are increasingly applied to structure health monitoring (SHM) problems. However, their application to pile damage detection (PDD) is hindered by the complexity of the problem. A novel multi-sensor pile damage detection (MSPDD) method is proposed in this paper to exte...

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Bibliographic Details
Main Authors: Juntao Wu, M. Hesham El Naggar, Kuihua Wang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/24/4/1190