Harmonics Signal Feature Extraction Techniques: A Review
Harmonic estimation is essential for mitigating or suppressing harmonic distortions in power systems. The most important idea is that spectrum analysis, waveform estimation, harmonic source classification, source location, the determination of harmonic source contributions, data clustering, and filt...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-04-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/11/8/1877 |
| _version_ | 1797604443829567488 |
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| author | Minh Ly Duc Petr Bilik Radek Martinek |
| author_facet | Minh Ly Duc Petr Bilik Radek Martinek |
| author_sort | Minh Ly Duc |
| collection | DOAJ |
| description | Harmonic estimation is essential for mitigating or suppressing harmonic distortions in power systems. The most important idea is that spectrum analysis, waveform estimation, harmonic source classification, source location, the determination of harmonic source contributions, data clustering, and filter-based harmonic elimination capacity are also considered. The feature extraction method is a fundamental component of the optimization that improves the effectiveness of the Harmonic Mitigation method. In this study, techniques to extract fundamental frequencies and harmonics in the frequency domain, the time domain, and the spatial domain include 67 literature reviews and an overall assessment. The combinations of signal processing with artificial intelligence (AI) techniques are also reviewed and evaluated in this study. The benefit of the feature extraction methods is that the analysis extracts the powerful basic information of the feedback signals from the sensors with the most redundancy, ensuring the highest efficiency for the next sampling process of algorithms. This study provides an overview of the fundamental frequency and harmonic extraction methods of recent years, an analysis, and a presentation of their advantages and limitations. |
| first_indexed | 2024-03-11T04:46:38Z |
| format | Article |
| id | doaj.art-39eadab644a2408fb670b66899bbe2fa |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-11T04:46:38Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Mathematics |
| spelling | doaj.art-39eadab644a2408fb670b66899bbe2fa2023-11-17T20:17:51ZengMDPI AGMathematics2227-73902023-04-01118187710.3390/math11081877Harmonics Signal Feature Extraction Techniques: A ReviewMinh Ly Duc0Petr Bilik1Radek Martinek2Faculty of Commerce, Van Lang University, 69/68 Dang Thuy Tram, Ward 13, BinhThanh District, Ho Chi Minh City 70000, VietnamDepartment of Cybernetics and Biomedical Engineering, VSB–Technical University of Ostrava, 17. Listopadu 15, 708 33 Ostrava, Czech RepublicDepartment of Cybernetics and Biomedical Engineering, VSB–Technical University of Ostrava, 17. Listopadu 15, 708 33 Ostrava, Czech RepublicHarmonic estimation is essential for mitigating or suppressing harmonic distortions in power systems. The most important idea is that spectrum analysis, waveform estimation, harmonic source classification, source location, the determination of harmonic source contributions, data clustering, and filter-based harmonic elimination capacity are also considered. The feature extraction method is a fundamental component of the optimization that improves the effectiveness of the Harmonic Mitigation method. In this study, techniques to extract fundamental frequencies and harmonics in the frequency domain, the time domain, and the spatial domain include 67 literature reviews and an overall assessment. The combinations of signal processing with artificial intelligence (AI) techniques are also reviewed and evaluated in this study. The benefit of the feature extraction methods is that the analysis extracts the powerful basic information of the feedback signals from the sensors with the most redundancy, ensuring the highest efficiency for the next sampling process of algorithms. This study provides an overview of the fundamental frequency and harmonic extraction methods of recent years, an analysis, and a presentation of their advantages and limitations.https://www.mdpi.com/2227-7390/11/8/1877harmonicfrequency domaintime domainfundamental frequency |
| spellingShingle | Minh Ly Duc Petr Bilik Radek Martinek Harmonics Signal Feature Extraction Techniques: A Review Mathematics harmonic frequency domain time domain fundamental frequency |
| title | Harmonics Signal Feature Extraction Techniques: A Review |
| title_full | Harmonics Signal Feature Extraction Techniques: A Review |
| title_fullStr | Harmonics Signal Feature Extraction Techniques: A Review |
| title_full_unstemmed | Harmonics Signal Feature Extraction Techniques: A Review |
| title_short | Harmonics Signal Feature Extraction Techniques: A Review |
| title_sort | harmonics signal feature extraction techniques a review |
| topic | harmonic frequency domain time domain fundamental frequency |
| url | https://www.mdpi.com/2227-7390/11/8/1877 |
| work_keys_str_mv | AT minhlyduc harmonicssignalfeatureextractiontechniquesareview AT petrbilik harmonicssignalfeatureextractiontechniquesareview AT radekmartinek harmonicssignalfeatureextractiontechniquesareview |