Deep learning and data augmentation based data imputation for structural health monitoring system in multi-sensor damaged state-Reference-Cited by-同舟云学术

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Deep learning and data augmentation based data imputation for structural health monitoring system in multi-sensor damaged state

Published:2022-06 Issue: Volume:196 Page:111206
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Hou Jiale,Jiang Huachen,Wan Chunfeng,Yi Letian,Gao Shuai,Ding Youliang,Xue Songtao

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference37 articles.

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2. Evaluation of bridge support condition using bridge responses;Park;Struct. Health Monit.-An Int. J.,2019

3. A kNN algorithm for locating and quantifying stiffness loss in a bridge from the forced vibration due to a truck crossing at low speed;Feng;Mech. Syst. Sig. Process.,2021

4. Structural health monitoring of the Jiangyin Bridge: system upgrade and data analysis;Zhou;Smart Struct. Syst.,2013

5. Technology developments in structural health monitoring of large-scale bridges;Ko;Eng. Struct.,2005

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