INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
—This paper evaluates and compares various
power quality event classification techniques. We have
tested 4 feature extraction techniques along with 3
classification techniques. Feature extraction techniques
used are STFT, Wavelet transform (WT), Multi-level
wavelet decomposition and Hilbert Huang transform.
Classification techniques used are KNN, ANN and
Random Forest. All the techniques are trained and tested
in 80:20 ratio on the dataset of 162 signals that we have
generated. There are a total of 12 methods that are being
compared, dataset generation and feature extraction is
done in MATLAB while classification is done in python.
Keywords:
Short time Fourier transform (STFT), K Nearest Neighbor (KNN), Artificial Neural Network (ANN), Wavelet Transform (WT).
Cite Article:
"Power quality event classification using Short time Fourier transform, Wavelet transform and Hilbert transform.", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.g755-g758, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305692.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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