Application of Machine Learning for Fault Classification and Location in a Radial Distribution Grid

Application of Machine Learning for Fault Classification and Location in a Radial Distribution Grid

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Fault location with the highest possible accuracy has a significant role in expediting the restoration process, after being exposed to any kind of fault in power distribution grids. This paper provides fault detection, classification, and location methods using machine learning tools and advanced si...

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Bibliographic Details
Main Authors: Yordanos Dametw Mamuya, Yih-Der Lee, Jing-Wen Shen, Cheng-Chien Kuo
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Applied Sciences
Subjects:
artificial neural network (ANN)
extreme learning machine (ELM)
multilayer perceptron (MLP)
discrete wavelet transform (DWT)
fault classification
fault location
Online Access:https://www.mdpi.com/2076-3417/10/14/4965

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https://www.mdpi.com/2076-3417/10/14/4965

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