{"title":"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","authors":"Xiaopei Cai, Yuqi Wang, Xueyang Tang, Zhipei Chen","doi":"10.1080/23248378.2024.2338838","DOIUrl":null,"url":null,"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...","PeriodicalId":48510,"journal":{"name":"International Journal of Rail Transportation","volume":"52 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A method for predicting vibration characteristics of track structure based on rail acceleration and deep learning\",\"authors\":\"Xiaopei Cai, Yuqi Wang, Xueyang Tang, Zhipei Chen\",\"doi\":\"10.1080/23248378.2024.2338838\",\"DOIUrl\":null,\"url\":null,\"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...\",\"PeriodicalId\":48510,\"journal\":{\"name\":\"International Journal of Rail Transportation\",\"volume\":\"52 1\",\"pages\":\"\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2024-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Rail Transportation\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/23248378.2024.2338838\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Rail Transportation","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/23248378.2024.2338838","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
A method for predicting vibration characteristics of track structure based on rail acceleration and deep learning
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...
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.
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