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Unsupervised machine learning methodologies for identification of transversal imbalanced loads in freight railway vehicles

Cássio Bragança Ruben Silva Edson Florentino de Souza Diogo Ribeiro Túlio Nogueira Bittencourt

铁道工程科学（英文）2025，Vol.33Issue(4)：581-613,33.

铁道工程科学（英文）2025，Vol.33Issue(4)：581-613,33.DOI:10.1007/s40534-025-00391-7

Unsupervised machine learning methodologies for identification of transversal imbalanced loads in freight railway vehicles

Cássio Bragança ¹Ruben Silva ²Edson Florentino de Souza ³Diogo Ribeiro ⁴Túlio Nogueira Bittencourt¹

作者信息

1. Department of Structural and Geotechnical Engineering,University of São Paulo,São Paulo,Brazil
2. CONSTRUCT-LESE,Faculty of Engineering,University of Porto,Porto,Portugal
3. Department of Structural and Geotechnical Engineering,University of São Paulo,São Paulo,Brazil||Department of Civil Engineering,Federal University of Technology—Parana,Guarapuava,Brazil
4. CONSTRUCT-LESE,Faculty of Engineering,University of Porto,Porto,Portugal||iBuilt,ISEP,Polytechnic of Porto,Porto,Portugal
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摘要

关键词

Freight traffic loads/Imbalanced vertical loads/Wayside condition monitoring/Train-track interaction/Artificial intelligence

Key words

Freight traffic loads/Imbalanced vertical loads/Wayside condition monitoring/Train-track interaction/Artificial intelligence

引用本文复制引用

Cássio Bragança,Ruben Silva,Edson Florentino de Souza,Diogo Ribeiro,Túlio Nogueira Bittencourt..Unsupervised machine learning methodologies for identification of transversal imbalanced loads in freight railway vehicles[J].铁道工程科学（英文）,2025,33(4):581-613,33.

基金项目

The authors would like to acknowledge CNPq(Brazilian Ministry of Science and Technology Agency),CAPES(Higher Education Improvement Agency),FAPESP(São Paulo Research Foundation)for financial support under grant#2022/13045-1,VALE Catedra Under Rail.This work was also financially supported by Base Funding—UIDB/04708/2020 with https://doi.org/https://doi.org/10.54499/UIDB/04708/2020 and Programmatic Funding—UIDP/04708/2020 with https://doi.org/https://doi.org/10.54499/UIDP/04708/2020 of the CONSTRUCT—Instituto de I&D em Estruturas e Construções—funded by national funds through the FCT/MCTES(PIDDAC).The authors would also like to thank Isabela Ames for her review of the text. （Brazilian Ministry of Science and Technology Agency）

铁道工程科学（英文）

ISSN：2662-4745

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