Informational and Analytical System for Diagnostics of the Electric Power Equipment Condition

被引：0
|
作者：
Oleg, Shutenko [1 ]
Oleksii, Kulyk [1 ]
Serhii, Ponomarenko [1 ]
机构：
[1] Natl Tech Univ, Kharkiv Polytech Inst, Dept Elect Power Transmiss, Kharkiv, Ukraine
来源：
2020 IEEE 7TH INTERNATIONAL CONFERENCE ON ENERGY SMART SYSTEMS (2020 IEEE ESS) | 2020年
关键词：
informational and analytical system; electric power equipment; diagnostics; information flows; relational database; client-server system; knowledge base; author's diagnostics methods; dissolved gases analysis; oil ageing degree; TRANSFORMERS; GAS;
D O I：
10.1109/ess50319.2020.9160251
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：105 / 110
页数：6
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