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

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2015 International Symposium on Energy Science and Chemical Engineering
PB  - Atlantis Press
SP  - 59
EP  - 62
SN  - 2352-5401
UR  - https://doi.org/10.2991/isesce-15.2015.12
DO  - 10.2991/isesce-15.2015.12
ID  - Guo2015/12
ER  -