{"title":"技术诊断的最佳程序","authors":"Yavor Lozanov, S. Tzvetkova, Angel Petleshkov","doi":"10.1109/BulEF56479.2022.10021170","DOIUrl":null,"url":null,"abstract":"The paper presents mathematical models for determining the optimal moments of time for performing diagnostic tests of electrical equipment. Results, connecting the statistical characteristics for the reliability of electrical equipment and strategies for technical diagnostics of production systems are shown.","PeriodicalId":375606,"journal":{"name":"2022 14th Electrical Engineering Faculty Conference (BulEF)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal programs for technical diagnostics\",\"authors\":\"Yavor Lozanov, S. Tzvetkova, Angel Petleshkov\",\"doi\":\"10.1109/BulEF56479.2022.10021170\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper presents mathematical models for determining the optimal moments of time for performing diagnostic tests of electrical equipment. Results, connecting the statistical characteristics for the reliability of electrical equipment and strategies for technical diagnostics of production systems are shown.\",\"PeriodicalId\":375606,\"journal\":{\"name\":\"2022 14th Electrical Engineering Faculty Conference (BulEF)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th Electrical Engineering Faculty Conference (BulEF)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BulEF56479.2022.10021170\",\"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 14th Electrical Engineering Faculty Conference (BulEF)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BulEF56479.2022.10021170","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The paper presents mathematical models for determining the optimal moments of time for performing diagnostic tests of electrical equipment. Results, connecting the statistical characteristics for the reliability of electrical equipment and strategies for technical diagnostics of production systems are shown.
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