Research on CEEMDAN Decomposition Algorithm Based on Permutation Entropy
QIU Lingjiang
HUA Xiaopeng
XU Sen
SUN Peng
Abstract：Complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN)method has good decomposi-tion ability for complex signals.However,there are still mode confusion and too many pseudo components in CEEMDAN decomposi-tion results.To solve the above problems,this paper proposes a Permutation entropy based complete ensemble empirical mode de-composition with adaptive noise method(PECEEMDAN).This method embeds permutation entropy threshold detection in CEEM-DAN decomposition of the original signal,separates intermittent and noise signals,and directly performs empirical mode decomposi-tion(EMD)on the remaining signals.The experimental results of simulation signals and measured bearing signals verify that PECEEMDAN has better advantages in suppressing mode confusion,decomposition accuracy and fault feature frequency extraction.
Keywords：noisemode mixingmode decompositionpermutation entropyfault characteristics
Publication Date：2025-07-20
Online Publishing Date：2025-09-25(First online date of this platform, not the publication date of the document)
Pages：8( 1800-1807 )