Partial Discharge Feature Extraction Based on Ensemble Empirical Mode Decomposition and Sample Entropy

Partial Discharge Feature Extraction Based on Ensemble Empirical Mode Decomposition and Sample Entropy

Partial Discharge (PD) pattern recognition plays an important part in electrical equipment fault diagnosis and maintenance. Feature extraction could greatly affect recognition results. Traditional PD feature extraction methods suffer from high-dimension calculation and signal attenuation. In this st...

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Bibliographic Details
Main Authors: Haikun Shang, Kwok Lun Lo, Feng Li
Format: Article
Language:English
Published: MDPI AG 2017-08-01
Series:Entropy
Subjects:
partial discharge
feature extraction
ensemble empirical mode decomposition
sample entropy
relevance vector machine
Online Access:https://www.mdpi.com/1099-4300/19/9/439

Internet

https://www.mdpi.com/1099-4300/19/9/439

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