Data Loss Reconstruction Method for a Bridge Weigh-in-Motion System Using Generative Adversarial Networks

Data Loss Reconstruction Method for a Bridge Weigh-in-Motion System Using Generative Adversarial Networks

In the application of a bridge weigh-in-motion (WIM) system, the collected data may be temporarily or permanently lost due to sensor failure or system transmission failure. The high data loss rate weakens the distribution characteristics of the collected data and the ability of the monitoring system...

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Bibliographic Details
Main Authors: Yizhou Zhuang, Jiacheng Qin, Bin Chen, Chuanzhi Dong, Chenbo Xue, Said M. Easa
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Sensors
Subjects:
bridge weigh-in-motion system
data loss
data reconstruction
generative adversarial network
convolutional neural network
deep learning
Online Access:https://www.mdpi.com/1424-8220/22/3/858

Internet

https://www.mdpi.com/1424-8220/22/3/858

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