Open AccessAn Applicability of Teager Energy Operator and Energy Separation Algorithm for Waveform Distortion Analysis : Harmonics, Inter-harmonics and Frequency Variation
Author(s) -
Soo-Hwan Cho,
Jin Hur,
Ilyong Chung
Publication year - 2014
Publication title -
journal of electrical engineering and technology/journal of electrical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.226
H-Index - 27
eISSN - 2093-7423
pISSN - 1975-0102
DOI - 10.5370/jeet.2014.9.4.1210
Subject(s) - harmonics , waveform , energy operator , signal (programming language) , amplitude , energy (signal processing) , chirp , distortion (music) , frequency deviation , algorithm , frequency modulation , instantaneous phase , total harmonic distortion , mathematics , acoustics , voltage , electronic engineering , computer science , engineering , telecommunications , radio frequency , physics , electrical engineering , automatic frequency control , radar , bandwidth (computing) , statistics , optics , amplifier , laser , programming language
This paper deals with an application of Teager Energy Operator (TEO) and Energy Separation Algorithm(ESA) to detect and determine various voltage waveform distortions like harmonics, inter-harmonics and frequency variation. Because the TEO and DESA algorithm was initially proposed for speech or communication analysis, its applications are limited to some types of waveform in the power quality analysis area. For example, an undistorted voltage signal is similar with a pure sinusoid. A voltage fluctuation is very similar with an amplitude-modulated signal, from the viewpoint of signal theory. And a continuous frequency variation is similar with a frequency- modulated signal, which is also known as a chirp signal. This paper is written to show that the TEO and DESA algorithm can be used for detecting occurrences of the representative waveform distortions and determining their instantaneous information of amplitude and frequency.