UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 11
November-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2311207


Registration ID:
527802

Page Number

c33-c39

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Title

Wavelet-Based Transmission Line Fault Classification

Abstract

Accurately recognizing and categorizing faults is critical for ensuring a power system's dependability and stability. In a fault condition, the tripping action is heavily influenced by the voltage and current waveforms recorded at the relay position. As a result, a quick and precise analysis is necessary to find and characterize problems in power transmission lines. Various signal processing algorithms are employed to examine the voltage and current waveforms of defect signals. Using discrete wavelet-based signal analysis, this study seeks to detect and classify several forms of transmission line problems. The defect can be classified by inspecting the current waveform of the fault signals with the discrete wavelet transform. The discrete approximation coefficient of the wavelet function is employed as an indicator for defect identification and classification. The artificial neural network is used to classify different transmission line defects

Key Words

MATLAB simulink ,Wavelet Transform ,ANN ,Confusion matrix

Cite This Article

"Wavelet-Based Transmission Line Fault Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.c33-c39, November-2023, Available :http://www.jetir.org/papers/JETIR2311207.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Wavelet-Based Transmission Line Fault Classification", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppc33-c39, November-2023, Available at : http://www.jetir.org/papers/JETIR2311207.pdf

Publication Details

Published Paper ID: JETIR2311207
Registration ID: 527802
Published In: Volume 10 | Issue 11 | Year November-2023
DOI (Digital Object Identifier):
Page No: c33-c39
Country: Buldhana, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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