Research of Feature Extraction Method Based on Sparse Reconstruction and Multiscale Dispersion Entropy-Reference-Cited by-同舟云学术

Research of Feature Extraction Method Based on Sparse Reconstruction and Multiscale Dispersion Entropy

Published:2018-05-29 Issue:6 Volume:8 Page:888
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Zhang Yidong^ORCID,Tong Shuiguang,Cong Feiyun,Xu Jian

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/8/6/888/pdf

Reference28 articles.

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2. Sparsity-based algorithm for detecting faults in rotating machines;He;Mech. Syst. Signal Process.,2016

3. A frequency-shifted bispectrum for rolling element bearing diagnosis;Dong;J. Sound Vib.,2015

4. Non-linear multivariate and multiscale monitoring and signal denoising strategy using Kernel Principal Component Analysis combined with Ensemble Empirical Mode Decomposition method;Žvokelj;Mech. Syst. Signal Process.,2011

5. A novel signal compression method based on optimal ensemble empirical mode decomposition for bearing vibration signals;Guo;J. Sound Vib.,2013

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