Enhanced Frequency and Harmonic Estimation for Electric Arc Furnace Measurements: A Least Squares Approach to Mitigate Spectral Leakage
Yazarlar (2)
Dr. Öğr. Üyesi Erhan SEZGİN Kafkas Üniversitesi, Türkiye
Ozgul Salor
Gazi Üniversitesi, Türkiye
Makale Türü Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı IEEE Transactions on Industry Applications (Q1)
Dergi ISSN 0093-9994 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili Türkçe Basım Tarihi 03-2026
Cilt / Sayı / Sayfa 62 / 2 / 2468–2477 DOI 10.1109/TIA.2025.3601094
Makale Linki https://doi.org/10.1109/tia.2025.3601094
UAK Araştırma Alanları
İşaret İşleme Kontrol Teorisi ve Uygulamaları Elektrik Enerjisi ve Güç Sistemleri
Özet
In this paper, a Least Squares (LS) based harmonic and frequency estimation method is proposed to analyze power signals with rapidly changing characteristics in time such as Electric Arc Furnaces (EAFs) as an alternative to the classical Discrete Fourier Transform (DFT)-based methods. Although DFT based harmonic analysis methods provide fast and accurate solutions for stationary signals, solutions become less accurate under frequency deviations especially when the signal is sampled at low rates. This paper presents an approach which can accurately calculate the harmonic components of the signals, when the fundamental periods cannot be expressed as integer numbers due to the low sampling rate. One of the outstanding parts of the proposed approach is that, it is possible to increase the performance of harmonic and interharmonic estimation by increasing the performance of frequency estimation with …
Anahtar Kelimeler
Brute-force search | discrete fourier transform (DFT) | electric arc furnace (EAF) | golden-section search | gradient descent | Least Squares (LS) | parallel programming | power system harmonics | spectral leakage | unconstrained optimization
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 1
Scopus 1
Google Scholar 3
Enhanced Frequency and Harmonic Estimation for Electric Arc Furnace Measurements: A Least Squares Approach to Mitigate Spectral Leakage

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