Tensor Singular Spectrum Decomposition Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

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Tensor Singular Spectrum Decomposition Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis

Published:2017-03-23 Issue:4 Volume:19 Page:139
ISSN:1099-4300
Container-title:Entropy
language:en
Short-container-title:Entropy

Author:

Yi Cancan,Lv Yong,Ge Mao,Xiao Han,Yu Xun

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei province

Publisher

MDPI AG

Subject

General Physics and Astronomy

Link

http://www.mdpi.com/1099-4300/19/4/139/pdf

Reference40 articles.

1. Wavelet and short-time Fourier transform comparison-based analysis of myoelectric signals

2. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis;Huang,1998

3. Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing

4. A Hybrid EEMD-Based SampEn and SVD for Acoustic Signal Processing and Fault Diagnosis

5. An improved method for restraining the end effect in empirical mode decomposition and its applications to the fault diagnosis of large rotating machinery

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