Classification of Power Quality Disturbances Using Wigner-Ville Distribution and Deep Convolutional Neural Networks

Classification of Power Quality Disturbances Using Wigner-Ville Distribution and Deep Convolutional Neural Networks

This paper proposes a hybrid approach combining Wigner-Ville distribution (WVD) with convolutional neural network (CNN) for power quality disturbance (PQD) classification. Firstly, a WVD technique is developed to transfer a 1D voltage disturbance signal into a 2D image file, followed by a CNN model...

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Bibliographic Details
Main Authors: Kewei Cai, Wenping Cao, Lassi Aarniovuori, Hongshuai Pang, Yuanshan Lin, Guofeng Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Classification
convolutional neural network (CNN)
deep learning
power quality disturbances
power systems
Wigner-Ville distribution (WVD)
Online Access:https://ieeexplore.ieee.org/document/8811462/

Internet

https://ieeexplore.ieee.org/document/8811462/

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