Fault Detection and Classification of Shunt Compensated Transmission Line Using Discrete Wavelet Transform and Naive Bayes Classifier

Fault Detection and Classification of Shunt Compensated Transmission Line Using Discrete Wavelet Transform and Naive Bayes Classifier

This paper presents the methodology to detect and identify the type of fault that occurs in the shunt compensated static synchronous compensator (STATCOM) transmission line using a combination of Discrete Wavelet Transform (DWT) and Naive Bayes (NB) classifiers. To study this, the network model is d...

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Bibliographic Details
Main Authors: Elhadi Aker, Mohammad Lutfi Othman, Veerapandiyan Veerasamy, Ishak bin Aris, Noor Izzri Abdul Wahab, Hashim Hizam
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Energies
Subjects:
static synchronous compensator (statcom)
discrete wavelet transform (dwt)
multi-layer perceptron neural network (mlp)
bayes and naive bayes (nb) classifier
Online Access:https://www.mdpi.com/1996-1073/13/1/243

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