Blind source separation of composite bearing vibration signals with low-rank and sparse decomposition-Reference-Cited by-同舟云学术

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Blind source separation of composite bearing vibration signals with low-rank and sparse decomposition

Published:2019-10 Issue: Volume:145 Page:323-334
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Guozheng,Tang Gang,Wang Huaqing,Wang Yanan

Funder

National Natural Science Foundation of China

Open Fund of State Key Laboratory of Nuclear Power Safety Monitoring Technology and Equipment, Shenzhen, Guangdong

Fundamental Research Funds for the Central Universities and Research

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference34 articles.

1. Rolling Bearing Analysis;Harris,1984

2. Step-by-step fuzzy diagnosis method for equipment based on symptom extraction and trivalent logic fuzzy diagnosis theory;Song;IEEE Trans. Fuzzy Syst.,2018

3. Underdetermined blind source separation with variational mode decomposition for compound roller bearing fault signals;Tang;Sensors,2016

4. Rolling element bearing diagnostics-A tutorial;Randall;Mech. Syst. Signal Process.,2011

5. Underdetermined blind separation of bearing faults in hyperplane space with variational mode decomposition;Li;Mech. Syst. Signal Process.,2019

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