A method for predicting vibration characteristics of track structure based on rail acceleration and deep learning

IF 3.4 2区工程技术 Q2 TRANSPORTATION SCIENCE & TECHNOLOGY

International Journal of Rail Transportation Pub Date : 2024-04-09 DOI:10.1080/23248378.2024.2338838

Xiaopei Cai, Yuqi Wang, Xueyang Tang, Zhipei Chen

引用次数: 0

Abstract

The dynamic test on track structure plays a crucial role in evaluating the operational state. Nonetheless, existing testing approaches involve numerous sensors, resulting in high costs and time con...

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基于轨道加速度和深度学习的轨道结构振动特性预测方法

轨道结构的动态测试在评估运行状态方面起着至关重要的作用。然而，现有的测试方法涉及大量传感器，成本高且耗时。

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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来源期刊

International Journal of Rail Transportation TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

6.90

自引率

15.00%

发文量

期刊介绍： The unprecedented modernization and expansion of rail transportation system will require substantial new efforts in scientific research for field-deployable technologies. The International Journal of Rail Transportation (IJRT) aims to provide an open forum for scientists, researchers, and engineers in the world to promote the exchange of the latest scientific and technological innovations in rail transportation; and to advance the state-of-the-art engineering and practices for various types of rail based transportation systems. IJRT covers all main areas of rail vehicle, infrastructure, traction power, operation, communication, and environment. The journal publishes original, significant articles on topics in dynamics and mechanics of rail vehicle, track, and bridge system; planning and design, construction, operation, inspection, and maintenance of rail infrastructure; train operation, control, scheduling and management; rail electrification; signalling and communication; and environmental impacts such as vibration and noise. The editorial policy of the new journal will abide by the highest level of standards in research rigor, ethics, and academic freedom. All published articles in IJRT have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent experts. There are no page charges and colour figures are included in the online edition free of charge.