Paper Title
Transformer Protection using Artificial Neural Network
Article Identifiers
Authors
Mr S.B.Parmar , Mr. B.S.Shah
Keywords
Transformer Protection using Artificial Neural Network
Abstract
This paper gives idea about use of artificial neural network to the protection of power transformer. The high pointed demand includes the requirements of dependability associated with no false tripping and operating speed with short fault detection and clearing time. By use of the second harmonic restrain and using discrete Fourier transform (DFT) problems such as long restrain time and inability to discriminate internal fault from magnetizing inrush condition. So, artificial neural network (ANN), a helping tool for artificial intelligence (AI), The wavelet transform(WT) which has the ability to extract information from transient signals in both time and frequency domain simultaneously is used for the analysis of power transformer The ANN is tested by varying the hidden layers, number of nodes in the hidden layer, learning rate and momentum factor, and the suitable architecture of ANN is selected having least mean square error during observations.
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How To Cite (APA)
Mr S.B.Parmar & Mr. B.S.Shah (May-2017). Transformer Protection using Artificial Neural Network. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 2(5), 108-111. https://ijnrd.org/papers/IJNRD1705023.pdf
Issue
Volume 2 Issue 5, May-2017
Pages : 108-111
Other Publication Details
Paper Reg. ID: IJNRD_170042
Published Paper Id: IJNRD1705023
Downloads: 000121984
Research Area: Engineering
Country: Rajkot, gujrat, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD1705023.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD1705023
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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