Frequency and Time Fault Diagnosis Methods of Power Transformers

被引:26
|
作者
Gutten, Miroslav [1 ]
Korenciak, Daniel [1 ]
Kucera, Matej [1 ]
Janura, Richard [2 ]
Glowacz, Adam [3 ]
Kantoch, Eliasz [4 ]
机构
[1] Univ Zilina, Fac Elect Engn, Dept Measurement & Appl Elect Engn, Univ 1, Zilina 01026, Slovakia
[2] CEZ AS, Nucl Power Plant Temelin, CZ-37305 Temelin, Czech Republic
[3] AGH Univ Sci & Technol, Fac Elect Engn Automat Comp Sci & Biomed Engn, Dept Automat Control & Robot, Al A Mickiewicza 30, PL-30059 Krakow, Poland
[4] AGH Univ Sci & Technol, Fac Elect Engn Automat Comp Sci & Biomed Engn, Dept Biocybernet & Biomed Engn, Al A Mickiewicza 30, PL-30059 Krakow, Poland
来源
MEASUREMENT SCIENCE REVIEW | 2018年 / 18卷 / 04期
关键词
Fault; short-circuit; transformer; diagnostics; frequency; WINDING FAULTS; SYSTEMS; OIL;
D O I
10.1515/msr-2018-0023
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
The authors describe experimental and theoretical analyses of faults of power transformer winding. Faults were caused by mechanical effect of short-circuit currents. Measurements of transformer were carried out in high-voltage laboratory. Frequency and time diagnostic methods (method SFRA - Sweep Frequency Response Analysis, impact test) were used for the analyses. Coils of transformer windings were diagnosed by means of the SFRA method and the time impact test. The analyzed methods had a significant sensitivity to a relatively small deformation of coil. In the analysis a new technique for analyzing the effects of short-circuit currents is introduced. This technique is developed for high-voltage transformers (different types of power). The proposed analyses show that it is necessary to analyze the value of short-circuit current. Short-circuit current represents a danger for the operation of the power transformer. The proposed approach can be used for other types of transformers. Moreover, the presented techniques have a potential application for fault diagnosis of electrical equipment such as: transformers and electrical machines.
引用
收藏
页码:162 / 167
页数:6
相关论文
共 50 条
  • [21] Rotating machinery fault diagnosis using time-frequency methods
    Lakis, A. A.
    CHALLENGES IN POWER, HIGH VOLTAGES AND MACHINES: PROCEEDINGS OF THE 7TH WSEAS INTERNATIONAL CONFERENCE ON ELECTRIC POWER SYSTEMS, HIGH VOLTAGES, ELECTRIC MACHINES (POWER '07), 2007, : 139 - +
  • [22] Understanding Frequency & Time Domain Polarisation Methods for the Insulation Condition Assessment of Power Transformers
    Saha, T. K.
    Middleton, R.
    Thomas, A.
    2009 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, VOLS 1-8, 2009, : 1456 - +
  • [23] Comparison of PD Detection Methods for Power Transformers - their Sensitivity and Characteristics in Time and Frequency Domain
    Xu, Yang
    Liu, Weidong
    Gao, Wensheng
    Zhang, Xiancong
    Wang, Yong
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2016, 23 (05) : 2925 - 2932
  • [24] Interpretation of Frequency Response Analysis for Fault Detection in Power Transformers
    Al-Ameri, Salem Mgammal
    Kamarudin, Muhammad Saufi
    Yousof, Mohd Fairouz Mohd
    Salem, Ali A.
    Siada, A. Abu
    Mosaad, Mohamed I.
    APPLIED SCIENCES-BASEL, 2021, 11 (07):
  • [25] Fault diagnosis of power transformers using graph convolutional network
    Liao, Wenlong
    Yang, Dechang
    Wang, Yusen
    Ren, Xiang
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2021, 7 (02): : 241 - 249
  • [26] Evolutionary multi-objective fault diagnosis of power transformers
    Peimankar, Abdolrahman
    Weddell, Stephen John
    Jalal, Thahirah
    Lapthorn, Andrew Craig
    SWARM AND EVOLUTIONARY COMPUTATION, 2017, 36 : 62 - 75
  • [27] Incipient Fault Diagnosis in Power Transformers by Clustering and Adapted KNN
    Islam, Md Mominul
    Lee, Gareth
    Hettiwatte, Sujeewa Nilendra
    PROCEEDINGS OF THE 2016 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2016,
  • [28] Multiple SVMs Modelling Method for Fault Diagnosis of Power Transformers
    Zhang, Mu
    Li, Kun
    Tian, Huixin
    PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (7B): : 232 - 234
  • [29] Fault diagnosis of power transformers using ANN and SMOTE algorithm
    Rao, Shaowei
    Zou, Guoping
    Yang, Shiyou
    Khan, Shoaib Ahmed
    INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, 2022, 70 (04) : 345 - 355
  • [30] Fault Diagnosis of Power Transformers Using Computational Intelligence: A Review
    Sun, Huo-Ching
    Huang, Yann-Chang
    Huang, Chao-Ming
    2011 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY ENGINEERING (ICAEE), 2012, 14 : 1226 - 1231