Fault diagnosis of rolling bearing based on kurtosis criterion VMD and modulo square threshold-Reference-Cited by-同舟云学术

Fault diagnosis of rolling bearing based on kurtosis criterion VMD and modulo square threshold

Published:2019-12 Issue:23 Volume:2019 Page:8685-8690
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Zhang Xueying¹,Luan Zhongquan¹,Liu Xiuli¹

Affiliation:

1. Beijing Information Science and Technology University, the Ministry of Education Key Laboratory of Modern Measurement and Control TechnologyBeijingPeople's Republic of China

Funder

Beijing Information Science and Technology University

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.9084

Reference14 articles.

1. Rolling element bearing fault diagnosis method based on NAMEMD and multi‐scale morphology;Wu Z.;J. Vib. Shock,2016

2. Rolling bearing fault diagnosis based on LMD and order tracking analysis;Zhang K.;J. Vib., Meas. Diagn.,2016

3. Feature extraction method based on empirical mode decomposition and bispectrum analysis;Jang Y.H.;J. Vib., Meas. Diagn.,2017

4. Bearing fault diagnosis using EEMD and improved morphological filtering method based on kurtosis criterion;Wu X.T.;J. Vib. Shock,2015

5. Ensemble empirical mode decomposition: a noise‐assisted data analysis method;Wu Z.H.;Adv. Adapt. Data. Anal.,2009

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