Power transformer fault diagnosis based on fuzzy integral fusion

被引：0
|
作者：
Zhou Ling [1 ]
Yan Huimin [1 ]
Cao Yonggang [1 ]
机构：
[1] Hohai Univ, Coll Elect Engn, Nanjing 210098, Peoples R China
来源：
PROCEEDINGS OF THE 41ST INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE, VOLS 1 AND 2 | 2006年
关键词：
power transformer; radial basis function (RBF); fuzzy integral; fault diagnosis;
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：
A new method to identify power transformer faults based on fuzzy integral fusion is presented. Firstly, the membership function of the value of three-ratio are presented and the data of the value of three ratios are processed by fuzzy method. Then the faults are identified by four different radial basis function (RBF) neural networks. Finally results of identification from four different neural networks are fused by fuzzy integral fusion and then form the final diagnosis. The results of simulation by presented method have been proved to be more accuracy than single neural network in identifying the practical transformer fault case.
引用
收藏
页码：1087 / 1090
页数：4
相关论文
共 50 条
  • [21] Fault diagnosis of power transformer insulation based on fuzzy normal partition and logic reasoning
    Xie, Li
    Zhou, Long
    Tong, Xiao-Jun
    Chen, Mian-Yun
    PROCEEDINGS OF 2007 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2007, : 1081 - +
  • [22] Intelligent Fault Diagnosis of Power Transformer based on Fuzzy Logic and Rough Set Theory
    Zheng, Xiaoxia
    2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23, 2008, : 6858 - 6862
  • [23] Fault diagnosis of power transformer using neuro-fuzzy model
    Istanbul University, Engineering Faculty, Electrical-Electronics Eng. Dept., 34320, Istanbul, Turkey
    不详
    Istanb. Univ. J. Electr. Electron. Eng., 2008, 2 (699-706):
  • [24] FAULT DIAGNOSIS OF POWER TRANSFORMER USING NEURO-FUZZY MODEL
    Akgundogdu, Abdurrahim
    Gozutok, Abdulkadir
    Kilic, Niyazi
    Ucan, Osman N.
    ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, 2008, 8 (02): : 699 - 706
  • [25] Interval fuzzy probability method for power transformer multiple fault diagnosis
    Zhou, Lintao
    Wu, Qinge
    Chen, Hu
    Hu, Tao
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2021, 41 (06) : 5957 - 5968
  • [26] Vibration Signal-Based Fusion Residual Attention Model for Power Transformer Fault Diagnosis
    Zhou, Yazhong
    He, Yigang
    Xing, Zhikai
    Wang, Lei
    Shao, Kaixuan
    Lei, Leixiao
    Li, Zihao
    IEEE SENSORS JOURNAL, 2024, 24 (10) : 17231 - 17242
  • [27] Power Transformer Fault Diagnosis using Fuzzy Logic Technique Based on Dissolved Gas Analysis
    Ahmed, M. R.
    Geliel, M. A.
    Khalil, A.
    2013 21ST MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2013, : 584 - 589
  • [28] A new method based on fuzzy TOPSIS and BP neural network for power transformer fault diagnosis
    Pan, Chao
    Ma, Cheng-Lian
    Zheng, Ling-Feng
    Liu, Ning
    Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2009, 37 (09): : 20 - 24
  • [29] An improved power transformer diagnosis system for incipient fault based on fuzzy rough set theory
    Xiong Hao
    Li Weiguo
    Chang Guanghui
    Guo Huimin
    2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6, 2006, : 861 - +
  • [30] Transformer Fault Diagnosis Based on Multi-Algorithm Fusion
    Cheng Jiatang
    Ai Li
    Xiong Yan
    RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2016, 9 (03) : 249 - 254
12345