Premium
Application of EEMD and high‐order singular spectral entropy to feature extraction of partial discharge signals
Author(s) -
Yang Fengyuan,
Sheng Gehao,
Xu Yongpeng,
Qian Yong,
Jiang Xiuchen
Publication year - 2018
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22657
Subject(s) - pattern recognition (psychology) , hilbert–huang transform , artificial intelligence , nonlinear system , entropy (arrow of time) , computer science , feature extraction , eigenvalues and eigenvectors , singular value , partial discharge , algorithm , singular value decomposition , mathematics , white noise , engineering , physics , telecommunications , quantum mechanics , voltage , electrical engineering
Feature extraction of partial discharge (PD) signals is a key step in the pattern recognition and fault diagnosis of power equipment. The theory of singular spectral entropy analysis (SSEA) is introduced in order to study the complexity and irregularity degree of PD signals, but it cannot reflect the inherent nonlinear characteristics. The fourth‐order cumulant of PD signals is used instead of the covariance matrix of SSEA, and the ensemble empirical mode decomposition (EEMD) method is applied to realize multiple scales. The proposed multi‐scale high‐order singular spectral entropy analysis (M‐HSSEA) is applied to the simulated PD signals. Noise is effectively suppressed in the extracted entropy eigenvectors, and the robustness of phase space reconstruction parameters can be enhanced as well. Three kinds of typical defect models are designed. The entropy eigenvectors of the PDs detected by the ultra high frequency (UHF) method are extracted. The radial basis function neural network (RBF‐NN) classifier is used for pattern recognition. An ideal accuracy can be obtained, which verifies the validity and applicability of the proposed method. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.