Efficient feature vector extraction for automatic classification of power quality disturbances

被引:18
作者
Lee, CH [1 ]
Nam, SW [1 ]
机构
[1] Hanyang Univ, Dept Elect Engn, Seoul 133791, South Korea
关键词
D O I
10.1049/el:19980809
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
A new feature vector extraction method is presented for the automatic classification of power quality disturbances, which utilises FFT, DWT (discrete wavelet transform), and Fisher's criterion. This approach leads to a considerable reduction in the computational burden associated with disturbance classification.
引用
收藏
页码:1059 / 1061
页数:3
相关论文
共 5 条
[1]   THE CLASSIFICATION OF POWER-SYSTEM DISTURBANCE WAVE-FORMS USING A NEURAL-NETWORK APPROACH [J].
GHOSH, AK ;
LUBKEMAN, DL .
IEEE TRANSACTIONS ON POWER DELIVERY, 1995, 10 (01) :109-115
[2]  
GOSSELIN B, 1997, P IWSSIP97 POZN POL, P137
[3]  
HEYDT GT, 1991, ELECT POWER QUALITY
[4]  
LEE CH, 1997, P ISCAS 97, P2681
[5]  
SANTOSO S, 1996, 96SM4275 PWRD