Detection of Minor Winding Deformation Fault in High Frequency Range for Power Transformer

被引：0
|
作者：
Tang, W. H. [1 ]
Shintemirov, A. [1 ]
Wu, Q. H. [1 ]
机构：
[1] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
来源：
IEEE POWER AND ENERGY SOCIETY GENERAL MEETING 2010 | 2010年
关键词：
Transformer winding; distortion fault; frequency response analysis; MOVEMENT;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This paper presents a simplified distributed parameter model for minor winding deformation fault analysis of power transformers on the basis of frequency response analysis (FRA). The FRA data of an experimental transformer is employed as a reference trace, which are compared with the simulations of the simplified distributed parameter model concerning minor winding deformation faults. In order to perform quantitative analysis when a deformation fault occurs, three statistical indicators are used to analyze the FRA simulation data. It is suggested in the results that minor winding deformation faults can be detected at the frequency range above 1 MHz.
引用
收藏
页数：6
相关论文
共 50 条
  • [41] Fault Diagnostic in the Transformer Winding by Sweep Frequency Response Analysis
    Kumar, Abhishek
    Aggarwal, Priyanshi
    Kumbhar, Ganesh B.
    Bhalja, Bhavesh R.
    4TH INTERNATIONAL CONFERENCE ON CONDITION ASSESSMENT TECHNIQUES IN ELECTRICAL SYSTEMS (CATCON 2019), 2019,
  • [42] Detection of Transformer Winding Fault with Oscillation Wave Signal Based on Time-Frequency Transform
    Liu, Hongwen
    Wang, Ke
    Zhou, Xiangyu
    2019 IEEE 4TH INTERNATIONAL CONFERENCE ON INTEGRATED CIRCUITS AND MICROSYSTEMS (ICICM 2019), 2019, : 147 - 152
  • [43] A Variable Frequency Constant Current Power Supply for Vibration Analysis Method to Detect the Winding Deformation of Power Transformer
    Lu, Q. Y.
    Wang, F. H.
    Jin, Z. J.
    2011 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING, 2011,
  • [44] A Winding Method of High Frequency High Voltage Transformer
    Ji, Junpeng
    Zhang, Xingxia
    Chen, Wenjie
    An, Shaoliang
    Yang, Xu
    2017 IEEE ENERGY CONVERSION CONGRESS AND EXPOSITION (ECCE), 2017, : 1649 - 1651
  • [45] Analysis of Transformer Winding High Frequency Characteristics
    Fan Songhai
    Wang, Zijian
    Quan, YuSheng
    2016 INTERNATIONAL CONFERENCE ON POWER ENGINEERING & ENERGY, ENVIRONMENT (PEEE 2016), 2016, : 127 - 132
  • [46] Feasibility Study on Transformer Winding Deformation Detection and Fault Identification Based on Distributed Optical Fiber Sensing
    Liu Y.
    Bu Y.
    Tian Y.
    He P.
    Fan X.
    Gaodianya Jishu/High Voltage Engineering, 2019, 45 (05): : 1483 - 1489
  • [47] Interpretation of transformer winding deformation fault by the spectral clustering of FRA signature
    Zhao, Zhongyong
    Tang, Chao
    Chen, Yu
    Zhou, Qu
    Yao, Chenguo
    Islam, Syed
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2021, 130
  • [48] Detection and localization of inter-turn fault in the HV winding of a power transformer using wavelets
    Gururaj, BI
    Satish, L
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2002, 9 (03) : 479 - 479
  • [49] Research on mechanical fault diagnosis method of power transformer winding
    Zhang Bin
    Zhao Dan
    Wang Feiming
    Shi Kejian
    Zhao Zhenyang
    JOURNAL OF ENGINEERING-JOE, 2019, (16): : 2096 - 2101
  • [50] Power Transformer Winding Fault Analysis using Transfer Function
    Patel, Kalpana
    Das, Narottam
    Abu-siada, A.
    Islam, Syed
    2013 AUSTRALASIAN UNIVERSITIES POWER ENGINEERING CONFERENCE (AUPEC), 2013,
12345