EMD-Based Feature Extraction for Power Quality Disturbance Classification Using Moments

EMD-Based Feature Extraction for Power Quality Disturbance Classification Using Moments

In electric power systems, there are always power quality disturbances (PQDs). Usually, noise contamination interferes with their detection and classification. Common methods perform frequency or time-frequency analyses on the power distribution signal for detecting and classifying a limited number...

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Bibliographic Details
Main Authors: Misael Lopez-Ramirez, Luis Ledesma-Carrillo, Eduardo Cabal-Yepez, Carlos Rodriguez-Donate, Homero Miranda-Vidales, Arturo Garcia-Perez
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:Energies
Subjects:
artificial neural networks
empirical mode decomposition
kurtosis
power quality disturbances
Shannon entropy
skewness
Online Access:http://www.mdpi.com/1996-1073/9/7/565

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http://www.mdpi.com/1996-1073/9/7/565

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