A Data-Driven Damage Identification Framework Based on Transmissibility Function Datasets and One-Dimensional Convolutional Neural Networks: Verification on a Structural Health Monitoring Benchmark Structure

A Data-Driven Damage Identification Framework Based on Transmissibility Function Datasets and One-Dimensional Convolutional Neural Networks: Verification on a Structural Health Monitoring Benchmark Structure

Vibration-based data-driven structural damage identification methods have gained large popularity because of their independence of high-fidelity models of target systems. However, the effectiveness of existing methods is constrained by critical shortcomings. For example, the measured vibration respo...

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Bibliographic Details
Main Authors: Tongwei Liu, Hao Xu, Minvydas Ragulskis, Maosen Cao, Wiesław Ostachowicz
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
structural health monitoring
damage identification
transmissibility function
convolutional neural networks
deep learning
Online Access:https://www.mdpi.com/1424-8220/20/4/1059

Internet

https://www.mdpi.com/1424-8220/20/4/1059

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