| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| DOI Numarası | 10.1109/IAS55788.2024.11023682 | ||
| Kongre Adı | 2024 IEEE Industry Applications Society Annual Meeting (IAS) | ||
| Kongre Tarihi | 20-10-2024 / 24-10-2024 | ||
| Basıldığı Ülke | Amerika Birleşik Devletleri | Basıldığı Şehir | Phoenix, Arizona |
| Bildiri Linki | https://doi.org/10.1109/ias55788.2024.11023682 | ||
| UAK Araştırma Alanları |
İşaret İşleme
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| 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 |
| Discrete Fourier Transform (DFT) | Electric Arc Furnace (EAF) | Frequency Analysis | Least Squares (LS) | Power System Harmonics | Spectral Leakage |