A Critical Review of Time-frequency Distribution Analysis for Detection and Classification of Harmonic Signal in Power Distribution System
| Autor: | Mohd Hatta Jopri, Abdul Rahim Abdullah, Tole Sutikno, M.R. Yusoff, M. R. Ab Ghani, Mustafa Manap |
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| Rok vydání: | 2018 |
| Předmět: |
General Computer Science
Computer science business.industry 020209 energy 020208 electrical & electronic engineering Harmonic Gabor transform Pattern recognition S-transform 02 engineering and technology Classification Distribution system Detection Time frequency distribution Time-frequency distribution 0202 electrical engineering electronic engineering information engineering Spectrogram Artificial intelligence Electrical and Electronic Engineering business Classifier (UML) S transform |
| Zdroj: | International Journal of Electrical and Computer Engineering (IJECE). 8:4603 |
| ISSN: | 2088-8708 |
| DOI: | 10.11591/ijece.v8i6.pp4603-4618 |
| Popis: | This paper presents a critical review of time-frequency distributions (TFDs) analysis for detection and classification of harmonic signal. 100 unique harmonic signals comprise of numerous characteristic are detected and classified by using spectrogram, Gabor transform and S-transform. The rulebased classifier and the threshold settings of the analysis are according to the IEEE Standard 1159 2009. The best TFD for harmonic signals detection and classification is selected through performance analysis with regards to the accuracy, computational complexity and memory size that been used during the analysis. |
| Databáze: | OpenAIRE |
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