Proceedings of the 2015 International Symposium on Energy Science and Chemical Engineering

Fault Feature Extraction of Bearing Fault in Wind Turbine Generator Based on the Variational Modal Decomposition and Spectral Kurtosis

Authors
ShuangWei Guo, Wenmin Zhang, Hongshan Zhao
Corresponding Author
ShuangWei Guo
Available Online December 2015.
DOI
https://doi.org/10.2991/isesce-15.2015.12How to use a DOI?
Keywords
Variational mode decomposition; Spectral Kurtosis; Wind turbine generator; Fault feature extraction
Abstract
In order to extract fault features of rolling bearing effectively, a method which is based on variational mode decomposition and spectral kurtosis was proposed. The Intrinsic Mode Function (IMF) is obtained by variational mode decomposition.The intrinsic mode function (IMF) is obtained by variational mode decomposition. The IMF containing fault information was selected to reconstructed based on the spectral kurtosis and then extracting the fault feature frequency by envelope spectrum analysis and good results are obtained.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2015 International Symposium on Energy Science and Chemical Engineering
Part of series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-140-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/isesce-15.2015.12How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - ShuangWei Guo
AU  - Wenmin Zhang
AU  - Hongshan Zhao
PY  - 2015/12
DA  - 2015/12
TI  - Fault Feature Extraction of Bearing Fault in Wind Turbine Generator Based on the Variational Modal Decomposition and Spectral Kurtosis
BT  - 2015 International Symposium on Energy Science and Chemical Engineering
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/isesce-15.2015.12
DO  - https://doi.org/10.2991/isesce-15.2015.12
ID  - Guo2015/12
ER  -