Improved VMD‐KFCM algorithm for the fault diagnosis of rolling bearing vibration signals-Reference-Cited by-同舟云学术

Improved VMD‐KFCM algorithm for the fault diagnosis of rolling bearing vibration signals

Published:2021-04 Issue:4 Volume:15 Page:238-250
ISSN:1751-9675
Container-title:IET Signal Processing
language:en
Short-container-title:IET signal process.

Author:

Chang Yong¹^ORCID,Bao Guangqing¹,Cheng Sikai²,He Ting³,Yang Qiaoling¹

Affiliation:

1. College of Electrical and Information Engineering, Lanzhou University of Technology Lanzhou China

2. The Engineering Department the University of Melbourne Melbourne Australia

3. Gansu Natural Energy Research Institute Lanzhou China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/sil2.12026

Reference32 articles.

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4. Engine fault diagnosis method based on optimised variational mode decomposition and kernel fuzzy C‐means clustering;Bi F.R.;J. Vib. Meas. Diagn,2020

5. fault diagnosis of wind turbine gearbox based on KFCM optimised by particle swarm optimization;Li Z.;J. Vib. Meas. Diagn,2017

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