智能光纤传感网络促进铁路系统向预测性维护转变

2018 International Conference on Intelligent Rail Transportation (ICIRT) Pub Date : 2018-12-01 DOI:10.1109/ICIRT.2018.8641602

H. Tam, Kang-kuen Lee, Shun-yee Liu, L. Cho, K. Cheng

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引用次数: 6

摘要

介绍了一种基于光纤传感网络的铁路健康状态监测系统，实现了铁路的预测性维护。机器学习被应用于开发学习模型，可用于检测和识别不同类型的轨道缺陷，如轨道波纹、浸焊接头和轨道交叉。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Intelligent Optical Fibre Sensing Networks Facilitate Shift to Predictive Maintenance in Railway Systems

This paper depicts an optical fibre sensing network based railway health condition monitoring system that can facilitate predictive maintenance in railways. Machine learning is applied to develop learning models that can be used to detect and identify different types of track defects such as rail corrugations, dipped weld joints and rail crossings.

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来源期刊

2018 International Conference on Intelligent Rail Transportation (ICIRT)

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