Ensemble Deep Learning Model for Damage Identification via Output-Only Signal Analysis-Reference-Cited by-同舟云学术

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Ensemble Deep Learning Model for Damage Identification via Output-Only Signal Analysis

Published:2022-12-07 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/ACIS 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)
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Author:

Sands Matthew¹,Kim Jongyeop²,Kim Jinki¹,Kim Seongsoo³

Affiliation:

1. Georgia Southern University,Department of Mechanical Engineering,Statesboro,GA,U.S.A

2. Georgia Southern University,Department of Information Technology,Statesboro,GA,U.S.A

3. North Carolina State University,Department of Computer Science,Raleigh,NC,U.S.A

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10051724/10051766/10051770.pdf?arnumber=10051770

Reference17 articles.

1. The Stretching Method for Vibration-Based Structural Health Monitoring of Civil Structures

2. Continuous monitoring of the Milan Cathedral: dynamic characteristics and vibration-based SHM

3. Smartphone based structural health monitoring using deep neural networks

4. Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades

5. Review on Vibration-Based Structural Health Monitoring Techniques and Technical Codes

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning Model to Improve the Stability of Damage Identification via Output-only Signal;2023 IEEE/ACIS 21st International Conference on Software Engineering Research, Management and Applications (SERA);2023-05-23

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