Bearing Fault Diagnosis Based on Improved Hilbert-Huang Transform

DOI

10.2991/iccet-15.2015.102How to use a DOI?

Keywords

Hilbert-Huang transform(HHT);bearing; fault diagnosis

Abstract

For empirical mode decomposition (EMD) method had endpoint effect and modal aliasing problems, in this paper an improved Hilbert-Huang transform (HHT) based on combination of symmetrical-mirror continuation and correlation coefficient method was put forward. This method can eliminate the modal aliasing and false intrinsic mode function (IMF) problems effectively. Through correction parameters threshold denoising method and the method of selecting sensitive IMF, the Hilbert spectrum can be more accurate for fault diagnosis. The experiment research confirmed that this method can diagnose the bearing fault signal reasons effectively. A new and effective method was proved for bearing fault diagnosis.

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  - Fenglei Ma
AU  - Xiaoshuai Chen
AU  - Jilong Du
PY  - 2015/11
DA  - 2015/11
TI  - Bearing Fault Diagnosis Based on Improved Hilbert-Huang Transform
BT  - Proceedings of the 5th International Conference on Civil Engineering and Transportation 2015
PB  - Atlantis Press
SP  - 551
EP  - 555
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccet-15.2015.102
DO  - 10.2991/iccet-15.2015.102
ID  - Ma2015/11
ER  -