Next Article in Journal
Fluctuation Theorem of Information Exchange within an Ensemble of Paths Conditioned on Correlated-Microstates
Next Article in Special Issue
Negentropy Spectrum Decomposition and Its Application in Compound Fault Diagnosis of Rolling Bearing
Previous Article in Journal
Communicability Characterization of Structural DWI Subcortical Networks in Alzheimer’s Disease
Previous Article in Special Issue
A Novel Signal Separation Method Based on Improved Sparse Non-Negative Matrix Factorization
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle

Fault Feature Extraction of Hydraulic Pumps Based on Symplectic Geometry Mode Decomposition and Power Spectral Entropy

1 and 2,3,*
1
College of Mechanical Engineering, North China University of Science and Technology, Tangshan 063210, China
2
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
3
Beijing Research Center of Urban Traffic Information Sensing and Service Technologies, Beijing Jiaotong University, Beijing 100044, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(5), 476; https://doi.org/10.3390/e21050476
Received: 14 February 2019 / Revised: 22 April 2019 / Accepted: 28 April 2019 / Published: 7 May 2019
(This article belongs to the Special Issue Entropy-Based Fault Diagnosis)

Abstract

Aiming at fault feature extraction of a hydraulic pump signal, a new method based on symplectic geometry mode decomposition (SGMD) and power spectral entropy (PSE) is proposed. First, the SGMD is applied to decompose a multi-component fault signal, then the N symplectic geometry components (SGCs) can be obtained. Second, the N SGCs are reconstructed as a signal of interest and, consequently, the power spectral entropy of each constructed signal is computed to quantify the complexity and uncertainty of their spectra. Finally, the difference value (D-value) between the adjacent entropies is used as a SGCs criterion, whose turning point indicates the most information of reconstructed signal. Hydraulic pump signals are tested and verified, and results demonstrate that the proposed method can extract the richest fault feature information of hydraulic pump signals effectively. View Full-Text
Keywords: hydraulic pump; symplectic geometry mode decomposition; power spectral entropy hydraulic pump; symplectic geometry mode decomposition; power spectral entropy
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zheng, Z.; Xin, G. Fault Feature Extraction of Hydraulic Pumps Based on Symplectic Geometry Mode Decomposition and Power Spectral Entropy. Entropy 2019, 21, 476.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Entropy EISSN 1099-4300 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top