Evaluation of structural integrity of railway bridge using acceleration data and semi-supervised learning approach-Reference-Cited by-同舟云学术

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Evaluation of structural integrity of railway bridge using acceleration data and semi-supervised learning approach

Published:2021-07 Issue: Volume:239 Page:112330
ISSN:0141-0296
Container-title:Engineering Structures
language:en
Short-container-title:Engineering Structures

Author:

Lee Jun S.,Min Kim Hyun,Il Kim Sung,Min Lee Hyun

Funder

Korea Ministry of Science and ICT

Ministry of Science, ICT and Future Planning

Publisher

Elsevier BV

Subject

Civil and Structural Engineering

Reference54 articles.

1. 1-D CNNs for structural damage detection: Verification on a structual health monitoring benchmark data;Abdeljaber;Neurocomp,2018

2. Addison P. The illustrated wavelet transform handbook. Institute of Physics pub; 2002.

3. An Y et al. Recent progress and future trends on damage identification methods for bridge structures. Struct Control Health Monit e2416;2019:1–30.

4. Wireless and real-time structural damage detection: a novel decentralized method for wireless sensor networks;Avci;J Sound Vib,2018

5. Breunig M et al. LOF: Identifying density-based local outliers. Proc ACM SIGMOD; 2000. p. 1–12.

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