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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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Impact Factor : 8.76

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Paper Title: A Power Quality Disturbance Classification System Based on Wavelet Transformation and Back Propagation Network
Authors Name: MD RABIUL ISLAM , Shan Gao
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IJNRD_218947
Published Paper Id: IJNRD2404738
Published In: Volume 9 Issue 4, April-2024
DOI:
Abstract: This paper proposes a method for Power Quality (PQ) disturbances classification based on Wavelet transformation and Backpropagation (BP) algorithm. Several types of PQ disturbance are taken into consideration in this paper. Wavelet transformation is used to construct the feature vector from these PQ disturbances based on Multiresolution analysis (MRA). These feature vectors then are applied to the BP network for training and testing. Comparison research between the proposed method and the existing literature shows that the proposed can provide accurate classification results. The hypothesis test of the average classification accuracy values of different wavelets shows that one can choose any wavelet with a short filter length to achieve a good classification result with a low computational cost. Gaussian white noise and the Monte Carlo method are taken in consideration to simulate the performance of the proposed method in different noise environments.
Keywords: Wavelet Transformation, back propagation, Power quality disturbances, Neural network
Cite Article: "A Power Quality Disturbance Classification System Based on Wavelet Transformation and Back Propagation Network", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.h311-h321, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404738.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:IJNRD2404738
Registration ID: 218947
Published In: Volume 9 Issue 4, April-2024
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Page No: h311-h321
Country: Nanjing, Jiangsu, China
Research Area: Electrical Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2404738
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2404738
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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