{"title":"REVIEW OF RESEARCH ON KEY TECHNOLOGIES FOR HIGH-SPEED TRAIN WHEEL-RAIL CONDITION MONITORING","authors":"C. Zhang, Q. Zhang, J. He, J. Liu","doi":"10.1049/ICP.2021.1332","DOIUrl":null,"url":null,"abstract":"In the context of the increasing speed of high-speed trains, the safe and comfortable operation depends on the wheel-rail condition monitoring. First, this paper introduces the analysis of wheel-rail adhesion behavior from the aspects of rolling contact model and adhesion and wear. Second, this paper summarizes the research results related to the perception of wheel-rail condition information in recent years from the perspectives of wheel-rail force measurement and wheel-rail damage detection. Third, it focuses on the current situation of wheel-rail dynamic damage diagnosis and discusses the microdamage diagnosis around deep learning. Finally, the development trend of wheel-rail condition monitoring is stated from the perspectives of multicoupling wheel-rail dynamic contact system modeling, highly precise wheel-rail condition information perception, and wheel-rail dynamic microdamage diagnosis based on small sample.","PeriodicalId":337028,"journal":{"name":"The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 8th International Symposium on Test Automation & Instrumentation (ISTAI 2020)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/ICP.2021.1332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In the context of the increasing speed of high-speed trains, the safe and comfortable operation depends on the wheel-rail condition monitoring. First, this paper introduces the analysis of wheel-rail adhesion behavior from the aspects of rolling contact model and adhesion and wear. Second, this paper summarizes the research results related to the perception of wheel-rail condition information in recent years from the perspectives of wheel-rail force measurement and wheel-rail damage detection. Third, it focuses on the current situation of wheel-rail dynamic damage diagnosis and discusses the microdamage diagnosis around deep learning. Finally, the development trend of wheel-rail condition monitoring is stated from the perspectives of multicoupling wheel-rail dynamic contact system modeling, highly precise wheel-rail condition information perception, and wheel-rail dynamic microdamage diagnosis based on small sample.