Periodical sparse low-rank matrix estimation algorithm for fault detection of rolling bearings

Author:

Wang Baoxiang,Liao Yuhe,Ding Chuancang,Zhang Xining

Funder

National Natural Science Foundation of China

Joint Foundation of the Ministry of Education, China

National Science and Technology Major Project, China

Publisher

Elsevier BV

Subject

Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation

Reference33 articles.

1. A review of wind turbine bearing condition monitoring: State of the art and challenges;de Azevedo;Renew Sustain Energy Rev,2016

2. Rolling element bearing diagnostics—A tutorial;Randall;Mech Syst Signal Process,2011

3. Sparsity based algorithm for condition assessment of rotating machinery using internal encoder data;Ding;IEEE Trans Ind Electron,2019

4. Diagnosis of compound faults of rolling bearings through adaptive maximum correlated kurtosis deconvolution;Tang;J Mech Sci Technol,2016

5. A new l0-norm embedded MED method for roller element bearing fault diagnosis at early stage of damage;Jiang;Measurement,2018

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