Reconstructing Missing Data Using a Bi-LSTM Model Based on VMD and SSA for Structural Health Monitoring

Reconstructing Missing Data Using a Bi-LSTM Model Based on VMD and SSA for Structural Health Monitoring

For structural health monitoring (SHM), a complete dataset is crucial for further modal identification analysis and risk warning. Unfortunately, data loss can occur due to sensor failure, transmission system interruption, or hardware failure, which can lead to missing data. Therefore, this study pro...

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Bibliographic Details
Main Authors: Songlin Zhu, Jijun Miao, Wei Chen, Caiwei Liu, Chengliang Weng, Yichun Luo
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Buildings
Subjects:
data reconstruction
structural health monitoring
Bi-LSTM
VMD
SSA
Online Access:https://www.mdpi.com/2075-5309/14/1/251

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https://www.mdpi.com/2075-5309/14/1/251

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