Title :
Classification of power disturbances using feature extraction in time-frequency plane
Author :
Lee, Y. ; Won, Y.J. ; Jeong, J.-M. ; Nam, S.W.
Author_Institution :
Div. of Electr. & Comput. Eng., Hanyang Univ., Seoul, South Korea
fDate :
7/18/2002 12:00:00 AM
Abstract :
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
Keywords :
feature extraction; maximum likelihood estimation; power system faults; prediction theory; signal classification; singular value decomposition; time-frequency analysis; automatic classification; feature extraction; maximum likelihood predictor classifier; power disturbances classification; power quality; principal component analysis; singular value decomposition; time-frequency plane;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020562
