Multi-Sensor and Decision-Level Fusion-Based Structural Damage Detection Using a One-Dimensional Convolutional Neural Network

This paper presents a novel approach to substantially improve the detection accuracy of structural damage via a one-dimensional convolutional neural network (1-D CNN) and a decision-level fusion strategy. As structural damage usually induces changes in the dynamic responses of a structure, a CNN can...

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Autori principali:	Shuai Teng, Gongfa Chen, Zongchao Liu, Li Cheng, Xiaoli Sun
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2021-06-01
Serie:	Sensors
Soggetti:	structural damage detection decision-level fusion 1-D convolutional neural network vibration experiments acceleration signals bridge model
Accesso online:	https://www.mdpi.com/1424-8220/21/12/3950
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