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
相关论文
共 50 条
  • [21] Nondestructive electrochemical diagnostics of power equipment
    Makarova, NL
    Nazarov, AA
    PROTECTION OF METALS, 1997, 33 (01): : 86 - 91
  • [22] Nondestructive electrochemical diagnostics of power equipment
    Makarova, N.L.
    Nazrov, A.A.
    Zashchita Metallov, 1997, 33 (01): : 95 - 101
  • [23] Optimization of the Structure of Electric Power System Generating Equipment.
    Podpora, Jan
    Przeglad Elektrotechniczny, 1979, 55 (01): : 33 - 36
  • [24] Structures of emergency automatic equipment at large electric power system
    Iof'ev, B.I.
    Semenov, V.A.
    Energetik, 2005, (03): : 5 - 8
  • [25] Condition diagnostics of energized electrical equipment: Case studies
    Livshitz, Albert
    Chudnovsky, Bella H.
    2006 POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS 1-9, 2006, : 4429 - 4434
  • [26] Working Condition Monitoring of Electric Power Industry Equipment based on Image Recognition Technology
    Zhang, Huimeng
    Chu, Shenghui
    Zhang, Rongzhou
    Liu, Guozhong
    Meng, Hao
    2016 INTERNATIONAL CONFERENCE ON POWER ENGINEERING & ENERGY, ENVIRONMENT (PEEE 2016), 2016, : 1 - 7
  • [27] Thickness measurement system for testing the condition of protective layers of power equipment
    Ptak, Pawet
    Prauzner, Tomasz
    Noga, Henryk
    Migo, Piotr
    Gajewska, Agnieszka
    PRZEGLAD ELEKTROTECHNICZNY, 2023, 99 (12): : 335 - 338
  • [28] CMA The Key Equipment for Condition Monitoring In Power Transmission and Transformation System
    Zhu, Jiang
    Cao, Wenwen
    PROGRESS IN POWER AND ELECTRICAL ENGINEERING, PTS 1 AND 2, 2012, 354-355 : 1031 - 1034
  • [29] Development of an intelligent system for diagnosing the technical condition of the heat power equipment
    Zaporozhets, A. A.
    Eremenko, V. S.
    Serhiienko, R., V
    Ivanov, S. A.
    2018 IEEE 13TH INTERNATIONAL SCIENTIFIC AND TECHNICAL CONFERENCE ON COMPUTER SCIENCES AND INFORMATION TECHNOLOGIES (CSIT), VOL 1, 2018, : 48 - 51
  • [30] A Design and Implementation of Power Transfer Equipment Based on Fault Diagnostics in System Level
    Luo, Mingzhu
    Kang, Rui
    2013 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE (PHM), 2013, 33 : 967 - 972
12345