{"title":"城市轨道车辆运行齿轮故障诊断方法","authors":"W. Ye, Minghao Wu, Lifeng Wu","doi":"10.1109/ICSMD57530.2022.10058411","DOIUrl":null,"url":null,"abstract":"Accurate diagnosis and real-time state assessment of the running gear in the early stage of a defect are essential for predicting and managing the health condition of urban rail trains since it is a crucial component of a rail vehicle. This paper, after outlining the present techniques for improving feature signals in the early stage and discussing fault detection of running gears, prospects the potential for further studies in the course of urban rail trains.","PeriodicalId":396735,"journal":{"name":"2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault Diagnosis Methods for Running Gears of Urban Rail Trains\",\"authors\":\"W. Ye, Minghao Wu, Lifeng Wu\",\"doi\":\"10.1109/ICSMD57530.2022.10058411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Accurate diagnosis and real-time state assessment of the running gear in the early stage of a defect are essential for predicting and managing the health condition of urban rail trains since it is a crucial component of a rail vehicle. This paper, after outlining the present techniques for improving feature signals in the early stage and discussing fault detection of running gears, prospects the potential for further studies in the course of urban rail trains.\",\"PeriodicalId\":396735,\"journal\":{\"name\":\"2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSMD57530.2022.10058411\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Sensing, Measurement & Data Analytics in the era of Artificial Intelligence (ICSMD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSMD57530.2022.10058411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fault Diagnosis Methods for Running Gears of Urban Rail Trains
Accurate diagnosis and real-time state assessment of the running gear in the early stage of a defect are essential for predicting and managing the health condition of urban rail trains since it is a crucial component of a rail vehicle. This paper, after outlining the present techniques for improving feature signals in the early stage and discussing fault detection of running gears, prospects the potential for further studies in the course of urban rail trains.