A Novel Hybrid Approach for Partial Discharge Signal Detection Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Approximate Entropy

A Novel Hybrid Approach for Partial Discharge Signal Detection Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Approximate Entropy

To eliminate the influence of white noise in partial discharge (PD) detection, we propose a novel method based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and approximate entropy (ApEn). By introducing adaptive noise into the decomposition process, CEEMDAN can eff...

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Bibliographic Details
Main Authors: Haikun Shang, Yucai Li, Junyan Xu, Bing Qi, Jinliang Yin
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Entropy
Subjects:
partial discharge
de-noising
complete ensemble empirical mode decomposition
approximate entropy
correlation coefficient analysis
Online Access:https://www.mdpi.com/1099-4300/22/9/1039

Internet

https://www.mdpi.com/1099-4300/22/9/1039

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