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Bayesian multivariate track geometry degradation modeling and its use in condition-based inspection

Huy Truong-Ba Sinda Rebello Michael E.Cholette Venkat Reddy Pietro Borghesani

铁道工程科学（英文）2026，Vol.34Issue(2)：217-241,25.

铁道工程科学（英文）2026，Vol.34Issue(2)：217-241,25.DOI:10.1007/s40534-025-00394-4

Bayesian multivariate track geometry degradation modeling and its use in condition-based inspection

Huy Truong-Ba ¹Sinda Rebello ²Michael E.Cholette ¹Venkat Reddy ²Pietro Borghesani³

作者信息

1. Science and Engineering Faculty,Queensland University of Technology,Brisbane Queensland,Australia
2. Queensland Rail,Brisbane,Australia
3. School of Mechanical and Manufacturing Engineering,UNSW Sydney,Kensington,Australia
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摘要

关键词

Track geometry degradation/Multivariate degradation model/Multivariate wiener process/Bayesian approach/Degradation prediction

Key words

Track geometry degradation/Multivariate degradation model/Multivariate wiener process/Bayesian approach/Degradation prediction

引用本文复制引用

Huy Truong-Ba,Sinda Rebello,Michael E.Cholette,Venkat Reddy,Pietro Borghesani..Bayesian multivariate track geometry degradation modeling and its use in condition-based inspection[J].铁道工程科学（英文）,2026,34(2):217-241,25.

基金项目

This study has been undertaken as part of the Australian Research Council(ARC)Linkage Project LP200100382. （ARC）

铁道工程科学（英文）

ISSN：2662-4745

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