Research data supporting chapter 'A Hybrid Neural Model Approach for Health Assessment of Transition Zones with Multiple Data' of dissertation 'AI Solutions for Maintenance Decision Support in Railway Infrastructure'

The data and codes were prepared and uploaded to 4TU.ResearchData by Wassamon Phusakulkajorn to support the results in Chapter 5 (A Hybrid Neural Model Approach for Health Assessment of Transition Zones with Multiple Data) of her dissertation. This chapter has been submitted for publication as Phusakulkajorn, W., Unsiwilai, S., Chang, L., Núñez, A., Li, Z., A Hybrid Neural Model Approach for Health Assessment of Railway Transition Zones with Multiple Data Sources. In this research, we develop a framework that enables a more frequent evaluation of transition zone health by integrating multiple monitoring technologies, including track geometry measurements, interferometric synthetic aperture radar (InSAR), and axle box acceleration (ABA). This aims to improve an early detection capability for track irregularities. The data used in this research contain ABA, track geometry, InSAR measurements at transitions zone collected from a railway bridge between Dordrecht and Lage Zwaluwe station in the Netherlands. All implementations are done in MATLAB, where (.mat) files are analytical solutions and (.eps) and (.jpg) are figures used in the main manuscript.

本数据集与代码由Wassamon Phusakulkajorn整理并上传至4TU.ResearchData平台，用于支撑其博士论文第五章的研究结果。该章节的标题为《多数据过渡区健康评估的混合神经模型方法》（A Hybrid Neural Model Approach for Health Assessment of Transition Zones with Multiple Data），且已以如下信息投稿发表：Phusakulkajorn, W., Unsiwilai, S., Chang, L., Núñez, A., Li, Z., 《面向多数据源的铁路过渡区健康评估的混合神经模型方法》（A Hybrid Neural Model Approach for Health Assessment of Railway Transition Zones with Multiple Data Sources）。

在本研究中，我们构建了一套集成多监测技术的评估框架，可实现对过渡区健康状态的高频评估，所整合的监测技术包括轨道几何测量、干涉合成孔径雷达（interferometric synthetic aperture radar, InSAR）以及轴箱加速度（axle box acceleration, ABA）。此举旨在提升轨道不平顺的早期检测能力。

本研究使用的数据集包含从荷兰多德雷赫特（Dordrecht）与拉赫·兹瓦卢韦（Lage Zwaluwe）车站间的铁路桥梁处采集的过渡区轨道几何测量数据、干涉合成孔径雷达（InSAR）数据以及轴箱加速度（ABA）数据。

所有代码实现均基于MATLAB完成，其中(.mat)格式文件为解析解文件，(.eps)与(.jpg)格式文件为主稿件中使用的配图。