{"title":"Application of large-data-driven PHM technology in satellite test and on-orbit management","authors":"Qinyi Li, Xin Peng","doi":"10.1109/PHM.2017.8079214","DOIUrl":null,"url":null,"abstract":"First of all, this paper briefly introduces the current management and use of telemetry data, remote control information, satellite test environment data, space environment data after orbit and so on, which most are produced by satellite test and on-orbit management. Then the software platform for application of the satellite data accessing and monitoring based on the distributed large data management technology is studied. Combined with the existing Prognostic and Health Management (PHM) technology, the Satellite Prognostic and Health Management (S-PHM) system architecture is explored, and how the data in the satellite's life cycle stored in the software platform can be efficiently integrated into the S-PHM system is analyzed too. Finally we hope this could provide support and services for the on-orbit health management of satellites and the design of new satellites.","PeriodicalId":281875,"journal":{"name":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Prognostics and System Health Management Conference (PHM-Harbin)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM.2017.8079214","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
First of all, this paper briefly introduces the current management and use of telemetry data, remote control information, satellite test environment data, space environment data after orbit and so on, which most are produced by satellite test and on-orbit management. Then the software platform for application of the satellite data accessing and monitoring based on the distributed large data management technology is studied. Combined with the existing Prognostic and Health Management (PHM) technology, the Satellite Prognostic and Health Management (S-PHM) system architecture is explored, and how the data in the satellite's life cycle stored in the software platform can be efficiently integrated into the S-PHM system is analyzed too. Finally we hope this could provide support and services for the on-orbit health management of satellites and the design of new satellites.