Title :
HOS-based method for classification of power quality disturbances
Author :
Ferreira, Danton Diego ; Cerqueira, A.S. ; Duque, C.A. ; Ribeiro, M.V.
Author_Institution :
Fed. Univ. of Rio de Janeiro, Rio de Janeiro
Abstract :
Presented is a novel method for disturbance classification using a higher-order statistics-based technique for extracting a reduced and representative event signature vector and a neural network for classification. The signature vectors provide enough separability among classification regions, resulting in a classification rate of 100% for the validation events set.
Keywords :
higher order statistics; neural nets; power engineering computing; HOS-based method; higher-order statistics-based technique; neural network; power quality disturbance classification; representative event signature vector;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20092969
