{"title":"基于预测的铁路变换器维修策略设计方法","authors":"L. Fusco, M. Pagano","doi":"10.1109/ESARS.2015.7101501","DOIUrl":null,"url":null,"abstract":"An essential step toward the development of intelligent and efficient technologies applied to complex systems is to provide self-diagnosing capability. For this to happen, sensors, data analysis, fault detection, and health assessment must be interconnected. This paper discusses on a predictive diagnostic strategy that can be used to monitor the aging of railway power converter units.","PeriodicalId":287492,"journal":{"name":"2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An approach to design a prognostic based maintenance strategy for railway power converter unit\",\"authors\":\"L. Fusco, M. Pagano\",\"doi\":\"10.1109/ESARS.2015.7101501\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An essential step toward the development of intelligent and efficient technologies applied to complex systems is to provide self-diagnosing capability. For this to happen, sensors, data analysis, fault detection, and health assessment must be interconnected. This paper discusses on a predictive diagnostic strategy that can be used to monitor the aging of railway power converter units.\",\"PeriodicalId\":287492,\"journal\":{\"name\":\"2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ESARS.2015.7101501\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles (ESARS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESARS.2015.7101501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An approach to design a prognostic based maintenance strategy for railway power converter unit
An essential step toward the development of intelligent and efficient technologies applied to complex systems is to provide self-diagnosing capability. For this to happen, sensors, data analysis, fault detection, and health assessment must be interconnected. This paper discusses on a predictive diagnostic strategy that can be used to monitor the aging of railway power converter units.