Fault Diagnosis for Rolling Bearing Based on Lifting Wavelet and Multi-fractal Dimension

DOI

10.2991/ameii-15.2015.54How to use a DOI?

Keywords

Rolling Bearing; Fault Diagnosis; Lifting Wavelet; Multi-fractal Dimension

Abstract

The vibration signal of rolling bearing is complex and nonstationary. In the process of fault diagnosis,if only describe the single fractal characteristics of signal,some certain conditions can’t be identified accurately. Therefore, this paper uses the multi-fractal dimension as the characteristic quantity, puts forward a method based on lifting wavelet transform and multi-fractal dimension for rolling bearing fault diagnosis. The step of the diagnosis goes as follows: firstly, decompose the vibration signal of rolling bearing into three layers and reconstruct it by lifting wavelet transform, to highlight the state characteristics of vibration signal; Secondly, calculate the multi-fractal dimension of reconstructed signal, and take it as characteristic quantity to discriminate the bearing status; finally, the vibration signal of rolling bearing in each condition are selected for experimental comparison and analysis, to prove that the method is feasible.

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  - Zhongyun Zhang
AU  - Jiande Wu
AU  - Jun Ma
AU  - Xiaodong Wang
PY  - 2015/04
DA  - 2015/04
TI  - Fault Diagnosis for Rolling Bearing Based on Lifting Wavelet and Multi-fractal Dimension
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 295
EP  - 300
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.54
DO  - 10.2991/ameii-15.2015.54
ID  - Zhang2015/04
ER  -