{"title":"Informational and Analytical System for Diagnostics of the Electric Power Equipment Condition","authors":"Shutenko Oleg, Kulyk Oleksii, Ponomarenko Serhii","doi":"10.1109/ESS50319.2020.9160251","DOIUrl":null,"url":null,"abstract":"The presented work is devoted to the decision of a problem of increase of operational reliability of the electric systems equipment, by developing information-analytical system for diagnosing a condition of the electric power equipment. To solve this problem, author's methods of diagnostics have been created and software implemented, which, unlike existing analogues, allow to detect equipment defects at an early stage of their development, to determine the maximum permissible and boundary values of equipment isolation indicators, to recognize the predicted defect type. The description of the structure and principles of database organization in the information-analytical system is given and its functional capabilities are analysed.","PeriodicalId":169630,"journal":{"name":"2020 IEEE 7th International Conference on Energy Smart Systems (ESS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 7th International Conference on Energy Smart Systems (ESS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ESS50319.2020.9160251","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The presented work is devoted to the decision of a problem of increase of operational reliability of the electric systems equipment, by developing information-analytical system for diagnosing a condition of the electric power equipment. To solve this problem, author's methods of diagnostics have been created and software implemented, which, unlike existing analogues, allow to detect equipment defects at an early stage of their development, to determine the maximum permissible and boundary values of equipment isolation indicators, to recognize the predicted defect type. The description of the structure and principles of database organization in the information-analytical system is given and its functional capabilities are analysed.