{"title":"小波变换在列车弹簧系统诊断中的应用","authors":"G.D. Geshev, E. Dimitrov, N. Nenov","doi":"10.1109/ISSE.2009.5206944","DOIUrl":null,"url":null,"abstract":"The paper examines the train spring system diagnostics problem. The rail disturbances have stochastic nature. This allows acquisition of data containing useful information. Real-time data have been collected during the normal operation. Different data processing methods have been applied, among which the wavelet transform has shown the most relevant and reliable information. Data processing program has been developed for MATLAB® numeric environment. Data processing determines the damper system condition parameters. The logarithmic damping decrement is the main parameter.","PeriodicalId":337429,"journal":{"name":"2009 32nd International Spring Seminar on Electronics Technology","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of wavelet transform to train spring system diagnostics\",\"authors\":\"G.D. Geshev, E. Dimitrov, N. Nenov\",\"doi\":\"10.1109/ISSE.2009.5206944\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper examines the train spring system diagnostics problem. The rail disturbances have stochastic nature. This allows acquisition of data containing useful information. Real-time data have been collected during the normal operation. Different data processing methods have been applied, among which the wavelet transform has shown the most relevant and reliable information. Data processing program has been developed for MATLAB® numeric environment. Data processing determines the damper system condition parameters. The logarithmic damping decrement is the main parameter.\",\"PeriodicalId\":337429,\"journal\":{\"name\":\"2009 32nd International Spring Seminar on Electronics Technology\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 32nd International Spring Seminar on Electronics Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSE.2009.5206944\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 32nd International Spring Seminar on Electronics Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSE.2009.5206944","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of wavelet transform to train spring system diagnostics
The paper examines the train spring system diagnostics problem. The rail disturbances have stochastic nature. This allows acquisition of data containing useful information. Real-time data have been collected during the normal operation. Different data processing methods have been applied, among which the wavelet transform has shown the most relevant and reliable information. Data processing program has been developed for MATLAB® numeric environment. Data processing determines the damper system condition parameters. The logarithmic damping decrement is the main parameter.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
