Interharmonic detection and identification based on higher-order statistics

A large effort has been made for improving the quality of electric power in the last years. More often, the studies concern over methods and techniques to enhance monitoring systems with efficient disturbance classification. This paper proposes a method based on higher-order statistics for power qua...

Full description

Saved in:
Bibliographic Details
Published in2016 17th International Conference on Harmonics and Quality of Power (ICHQP) pp. 679 - 684
Main Authors Geny Moreira, Mariana, Ferreira, Danton Diego, Duque, Carlos Augusto
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2016
Subjects
classification
Detectors
digital signal processing
Feature extraction
Higher order statistics
HOS
Power quality
Probability density function
Signal to noise ratio
Transforms
Online AccessGet full text

Cover

More Information
Summary:A large effort has been made for improving the quality of electric power in the last years. More often, the studies concern over methods and techniques to enhance monitoring systems with efficient disturbance classification. This paper proposes a method based on higher-order statistics for power quality disturbance detection and identification. Simulation results show the accuracy and capability of the proposed technique, which furnishes a reasonable performance.
ISSN:2164-0610
DOI:10.1109/ICHQP.2016.7783431