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GAN-based data augmentation of time series for fault diagnosis in railway track

Héctor A.Fernández-Bobadilla Yahya Bouchikhi Ullrich Martin

铁道工程科学(英文)2025,Vol.33Issue(4):642-683,42.
铁道工程科学(英文)2025,Vol.33Issue(4):642-683,42.DOI:10.1007/s40534-025-00396-2

GAN-based data augmentation of time series for fault diagnosis in railway track

GAN-based data augmentation of time series for fault diagnosis in railway track

Héctor A.Fernández-Bobadilla 1Yahya Bouchikhi 1Ullrich Martin1

作者信息

  • 1. Institute of Railway and Transportation Engineering,University of Stuttgart,Pfaffenwaldring 7,70569 Stuttgart,Germany
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摘要

关键词

Data augmentation/Time series/Generative adversarial networks/Fault diagnosis/Predictive maintenance/Railway systems

Key words

Data augmentation/Time series/Generative adversarial networks/Fault diagnosis/Predictive maintenance/Railway systems

引用本文复制引用

Héctor A.Fernández-Bobadilla,Yahya Bouchikhi,Ullrich Martin..GAN-based data augmentation of time series for fault diagnosis in railway track[J].铁道工程科学(英文),2025,33(4):642-683,42.

基金项目

This work was supported by the German Research Foundation(DFG)under the project"Efficient Sensor-Based Condition Monitoring Methodology for the Detection and Localization of Faults on the Railway Track(ConMoRAIL)",Grant No.515687155. (DFG)

铁道工程科学(英文)

2662-4745

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