{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,12,2]],"date-time":"2023-12-02T00:51:18Z","timestamp":1701478278411},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"value":"9781643684444","type":"print"},{"value":"9781643684451","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,11,30]],"date-time":"2023-11-30T00:00:00Z","timestamp":1701302400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,30]]},"abstract":"<jats:p>With the continuous improvement of radar performance and the increasing complexity, various information collection technologies and intelligent control technologies have been widely applied, and the reliability, fault diagnosis and prediction, as well as maintenance support of the entire radar system are receiving increasing attention. This article starts from the research on modern radar PHM requirements, and based on the application of big data in radar health management, proposes a radar equipment health management system architecture scheme based on big data. Finally, the relevant key technologies are analyzed.<\/jats:p>","DOI":"10.3233\/faia230825","type":"book-chapter","created":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:53:53Z","timestamp":1701446033000},"source":"Crossref","is-referenced-by-count":0,"title":["Research on the Architecture of Radar Equipment Health Management System Based on Big Data"],"prefix":"10.3233","author":[{"given":"Zhijian","family":"Sun","sequence":"first","affiliation":[{"name":"Early warning academy, China Wuhan 430019"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoli","family":"Jiao","sequence":"additional","affiliation":[{"name":"Early warning academy, China Wuhan 430019"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Deng","sequence":"additional","affiliation":[{"name":"Early warning academy, China Wuhan 430019"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Hu","sequence":"additional","affiliation":[{"name":"Early warning academy, China Wuhan 430019"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Advances in Artificial Intelligence, Big Data and Algorithms"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA230825","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,12,1]],"date-time":"2023-12-01T15:54:06Z","timestamp":1701446046000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA230825"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,11,30]]},"ISBN":["9781643684444","9781643684451"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia230825","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,11,30]]}}}