A new deep transfer learning method for intelligent bridge damage diagnosis based on muti-channel sub-domain adaptation-Reference-Cited by-同舟云学术

A new deep transfer learning method for intelligent bridge damage diagnosis based on muti-channel sub-domain adaptation

Published:2023-01-20 Issue: Volume: Page:1-16
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Xiao Haitao¹²^ORCID,Ogai Harutoshi²,Wang Wenjie¹

Affiliation:

1. Key Laboratory of Intelligent Network and Network Security, Ministry of Education, School of Information and Communication Engineering, Xi’an Jiaotong University, Xi’an, China

2. Graduate School of Information, Production and Systems, Waseda University, Tokyo, Japan

Funder

Japan Regional Innovation Strategy Program

Health Monitoring Business Limited Liability Partnership

China National Key Research and Development Program

Aviation Science Fund Project

CETC Key Laboratory of Data Link Technology Open Fund Project

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2023.2167214

Reference36 articles.

1. 1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

2. Recent progress and future trends on damage identification methods for bridge structures

3. A theory of learning from different domains

4. Damage detection on a three-storey steel frame using artificial neural networks and genetic algorithms

5. Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

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1. Structural damage identification based on Wasserstein Generative Adversarial Network with gradient penalty and dynamic adversarial adaptation network;Mechanical Systems and Signal Processing;2024-12

2. A novel cross-domain identification method for bridge damage based on recurrence plot and convolutional neural networks;Journal of Vibroengineering;2024-06-15

3. Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends;Sensors;2023-10-30