Application of extension method to fault diagnosis of transformer

被引：0

作者：

邓宏贵 ^{[1
]}

曹建 ^{[1
]}

罗安 ^{[2
]}

夏向阳 ^{[3
]}

机构：

[1] School of Physics Science and Technology,Central South University

[2] School of Electrical and Information Engineering,Hunan University

[3] School of Electrical and Information Engineering,University of Theory and Technology

来源：

Journal of Central South University | 2007年 / 01期

关键词：

power transformer; fault diagnosis; extension theory; matter-element model; dependent function;

D O I：

暂无

中图分类号：

TM46 [变流器];

学科分类号：

080801 ;

摘要：

A novel extension diagnosis method was proposed for enhancing the diagnosis ability of the conventional dissolved gas analysis. Based on the extension theory a matter-element model was established for qualitatively and quantitatively describing the fault diagnosis problem of power transformers. The degree of relation based on the dependent functions was employed to determine the nature and the grade of the faults in a transformer system. And the proposed method was verified with the experimental data. The results show that accuracy rate of the diagnosis method exceeds 90% and two kinds of faults can be detected at the same time.

引用

页码：88 / 93

页数：6

共 50 条

[1] Application of extension method to fault diagnosis of transformer
Hong-gui Deng
Jian Cao
An Luo
Xiang-yang Xia
[J]. Journal of Central South University of Technology, 2007, 14 : 88 - 93
[2] Application of extension method to fault diagnosis of transformer
Deng Hong-gui
Cao Jian
Luo An
Xia Xiang-yang
[J]. JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY, 2007, 14 (01): : 88 - 93
[3] A novel extension method for transformer fault diagnosis
Wang, MH
[J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2003, 18 (01) : 164 - 169
[4] Power transformer fault diagnosis based on extension theory
Zhang, LM
Li, Z
Ma, HZ
Ju, P
[J]. ICEMS 2005: Proceedings of the Eighth International Conference on Electrical Machines and Systems, Vols 1-3, 2005, : 1763 - 1766
[5] Research and Application of Extension CBR Fault Diagnosis Method for Process Production
Xu, Yuan
Zhu, Qunxiong
Wang, Yanqing
[J]. MATERIALS, MECHATRONICS AND AUTOMATION, PTS 1-3, 2011, 467-469 : 389 - 394
[6] Application of Sensor Technique in Transformer Fault Diagnosis
Wang, He Xing
Yang, Qi Ping
Zhang, Hao
Wang, Lu Yang
Zhang, Xiao Guang
[J]. 2013 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD), 2013, : 22 - 25
[7] Application of Improved PNN in Transformer Fault Diagnosis
Zhang, Xunyou
Sun, Zuo
[J]. PROCESSES, 2023, 11 (02)
[8] Application of Network Technique In Transformer Fault Diagnosis
Yang Qi-ping
Xu Dan-feng
Li Meng-qun
[J]. 2010 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), 2010,
[9] Extension neural network for power transformer incipient fault diagnosis
Wang, MH
[J]. IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION, 2003, 150 (06) : 679 - 685
[10] APPLICATION OF NEURAL NETWORKS FOR TRANSFORMER FAULT DIAGNOSIS
Venkatasami, A.
Latha, P.
Kasirajan, K.
[J]. 2012 IEEE 10TH INTERNATIONAL CONFERENCE ON THE PROPERTIES AND APPLICATIONS OF DIELECTRIC MATERIALS (ICPADM), 2012,

← 1 2 3 4 5 →