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

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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Bibliographic Details
Main Authors: Shuai Teng, Gongfa Chen, Zongchao Liu, Li Cheng, Xiaoli Sun
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Sensors
Subjects:
structural damage detection
decision-level fusion
1-D convolutional neural network
vibration experiments
acceleration signals
bridge model
Online Access:https://www.mdpi.com/1424-8220/21/12/3950

Internet

https://www.mdpi.com/1424-8220/21/12/3950

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