Application of Comprehensive Correlation Degree Analysis in Power Transformer Fault Diagnosis

被引:1
作者
Zhang, Lieping [1 ]
Niu, Qinzhou [2 ]
机构
[1] GuiLin Univ Technol, Sch Mech & Control Engn, Guilin, Peoples R China
[2] GuiLin Univ Technol, Sch Informat Sci & Engn, Guilin, Peoples R China
来源
ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL II, PROCEEDINGS | 2009年
关键词
power transformer; fault diagnosis; grey correlation degree; similar coefficient; comprehensive correlation degree;
D O I
10.1109/ICICTA.2009.353
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Based on the dissolved gases analysis and grey correlation theory, the power transformer faults were diagnosed according to the comprehensive correlation degree composed by the grey correlation degree and the similar coefficient. First, the power transformer fault diagnosis model of comprehensive correlation degree analysis was analyzed, and six sets of typical fault sequences were chosen to structure the power transformer fault reference types. Secondly, according to the given calculation methods of grey correlation degree, similar coefficient and comprehensive correlation degree, the traditional grey correlation degree and the comprehensive correlation degree of power transformer fault compared sequences were calculated. Finally, according to the correlation sequence of traditional grey correlation degree and comprehensive correlation degree, the fault classifications were identified for power transformers. The results indicate that the proposed method is available for the power transformer fault diagnosis and has good fault classified diagnosis ability than three-ratio method and traditional grey correlation degree method.
引用
收藏
页码:491 / +
页数:2
相关论文
共 11 条
[1]  
*CHIN STAT BUR TEC, 2002, GBT72522001 CHIN STA
[2]  
DENG JL, 2002, BASICS GREY THEORY
[3]  
Dong Lixin, 2005, Journal of Southeast University (English Edition), V21, P175
[4]  
Fu Mingfu, 2007, China Mechanical Engineering, V18, P2403
[5]  
Jiang Yan-jun, 2008, High Voltage Engineering, V34, P1755
[6]  
Li Jian-po, 2008, Journal of Jilin University (Information Science Edition), V26, P62
[7]  
Li Tianyun, 1996, Automation of Electric Power Systems, V20, P27
[8]  
SONG B, 2001, HIGH VOLTAGE ENG, V27, P69
[9]  
Song Bin, 2003, Electric Power Automation Equipment, V23, P64
[10]  
Wang Xuemei, 2005, High Voltage Engineering, V31, P12