Classification of power disturbances using feature extraction in time-frequency plane

被引:5
作者
Lee, JY [1 ]
Won, YJ [1 ]
Jeong, JM [1 ]
Nam, SW [1 ]
机构
[1] Hanyang Univ, Div Elect & Comp Engn, Seoul 133791, South Korea
关键词
D O I
10.1049/el:20020562
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
An efficient feature extraction in the time-frequency plane is proposed for automatic classification of power disturbances. For that purpose, singular value decomposition and principal component analysis are utilised. Finally, the performance of the proposed approach is tested using a maximum likelihood predictor classifier.
引用
收藏
页码:833 / 835
页数:3
相关论文
共 8 条
[1]  
CHUNG JH, 2000, THESIS U TEXAS AUSTI
[2]  
Dugan R. C., 1996, ELECT POWER SYSTEM Q
[3]  
Haykin S., 1999, NEURAL NETWORK COMPR
[4]  
KEY TS, 1995, IEEE RECOMMENDED PRA
[5]   Efficient feature vector extraction for automatic classification of power quality disturbances [J].
Lee, CH ;
Nam, SW .
ELECTRONICS LETTERS, 1998, 34 (11) :1059-1061
[6]  
MECKLENBRAUKER W, 1997, WIGNER DISTRIBUTION
[7]  
Qian S., 1996, JOINT TIME FREQUENCY
[8]   Discrete wavelet analysis of power system transients [J].
Wilkinson, WA ;
Cox, MD .
IEEE TRANSACTIONS ON POWER SYSTEMS, 1996, 11 (04) :2038-2044