Title: Detection of high frequency emission using ensemble empirical mode decomposition

Authors: Tomina Thomas; Prawin Angel Michael

Addresses: Department of Electrical Engineering, Karunya Institute of Technology & Science, Coimbatore, India ' Department of Electrical Engineering, Karunya Institute of Technology & Science, Coimbatore, India

Abstract: This paper discusses state-of-the-art study of the different methods of signal processing. Nowadays emissions are rising in the range of high frequencies due to the rapid development of energy-saving equipment. So much work was under way in various fields to identify these emissions. Fourier transforms, short-time Fourier transforms and empirical mode decomposition (EMD) are some of the methods used for the detection process. Apart from these methods ensemble, empirical mode decomposition (EEMD) becomes a superior approach for precise measurements.

Keywords: ensemble empirical mode decomposition; EEMD; power quality; short time Fourier transform; supra-harmonics.

DOI: 10.1504/IJETP.2021.119873

International Journal of Energy Technology and Policy, 2021 Vol.17 No.5, pp.510 - 528

Accepted: 10 Aug 2021
Published online: 06 Dec 2021 *

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