Next Article in Journal
Einstein-Podolsky-Rosen Steering Inequalities and Applications
Previous Article in Journal
Analysis of Basic Features in Dynamic Network Models
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Entropy 2018, 20(9), 682; https://doi.org/10.3390/e20090682

Study on a Novel Fault Damage Degree Identification Method Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy

1,2,3,4
,
1
,
2
,
1
,
1
and
1,3,4,5,6,*
1
Software Institute, Dalian Jiaotong University, Dalian 116028, China
2
Chuzhou Technical Supervision and Testing Center, Chuzhou 239000, China
3
Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu 610031, China
4
Guangxi Key Lab of Multi-Source Information Mining & Security, Guangxi Normal University, Guilin 541004, China
5
Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis, Guangxi University for Nationalities, Nanning 530006, China
6
Liaoning Key Laboratory of Welding and Reliability of Rail Transportation Equipment, Dalian Jiaotong University, Dalian 116028, China
*
Author to whom correspondence should be addressed.
Received: 31 July 2018 / Revised: 1 September 2018 / Accepted: 5 September 2018 / Published: 7 September 2018
Full-Text   |   PDF [2368 KB, uploaded 7 September 2018]   |  

Abstract

A damage degree identification method based on high-order difference mathematical morphology gradient spectrum entropy (HMGSEDI) is proposed in this paper to solve the problem that fault signal of rolling bearings are weak and difficult to be quantitatively measured. In the HMGSEDI method, on the basis of mathematical morphology gradient spectrum and spectrum entropy, the changing scale influence of structure elements to damage degree identification is thoroughly analyzed to determine its optimal scale range. The high-order difference mathematical morphology gradient spectrum entropy is then defined in order to quantitatively describe the fault damage degree of bearing. The discrimination concept of fault damage degree is defined to quantitatively describe the difference between the high-order differential mathematical entropy and the general mathematical morphology entropy in order to propose a fault damage degree identification method. The vibration signal of motors under no-load and load states are used to testify the effectiveness of the proposed HMGSEDI method. The experiment shows that high-order differential mathematical morphology entropy can more effectively identify the fault damage degree of bearings and the identification accuracy of fault damage degree can be greatly improved. Therefore, the HMGSEDI method is an effective quantitative fault damage degree identification method, and provides a new way to identify fault damage degree and fault prediction of rotating machinery. View Full-Text
Keywords: high-order differential mathematical morphology entropy; fault damage degree; quantitative identification; discrimination; rolling bearing high-order differential mathematical morphology entropy; fault damage degree; quantitative identification; discrimination; rolling bearing
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

Zhao, H.; Yao, R.; Xu, L.; Yuan, Y.; Li, G.; Deng, W. Study on a Novel Fault Damage Degree Identification Method Using High-Order Differential Mathematical Morphology Gradient Spectrum Entropy. Entropy 2018, 20, 682.

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