Title :
Efficient feature vector extraction for automatic classification of power quality disturbances
Author :
Lee, C.H. ; Nam, S.W.
Author_Institution :
Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
fDate :
5/28/1998 12:00:00 AM
Abstract :
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
Keywords :
electrical faults; fast Fourier transforms; feature extraction; power system stability; wavelet transforms; DWT; FFT; Fisher´s criterion; automatic classification; computational burden; discrete wavelet transform; disturbance classification; feature vector extraction; power quality disturbances;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980809
