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IJNRD
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
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Paper Title: Power quality event classification using Short time Fourier transform, Wavelet transform and Hilbert transform.
Authors Name: NIPUN , MANAV RISHI YADAV , HARSH NARAYAN SINGH
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IJNRD_196228
Published Paper Id: IJNRD2305692
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: —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
Publication Details: Published Paper ID:IJNRD2305692
Registration ID: 196228
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: g755-g758
Country: Noida, Uttar Pradesh, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305692
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305692
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ISSN: 2456-4184
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