Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016)

Feature Extraction of Bearing Status Based on Multi-Scale Bistable Stochastic Resonance Array

Authors
Xiaofei Zhang, Jingwei Gao, Lijun Song, Shuming Yang
Corresponding Author
Xiaofei Zhang
Available Online September 2016.
DOI
https://doi.org/10.2991/icmmbe-16.2016.32How to use a DOI?
Keywords
Multi-Scale Bistable Array; Stochastic Resonance; Bearing; Feature Extraction
Abstract
Multi-scale bistable array (MSBA), which combines normalized scale transform, stochastic resonance effect driven by colored noise and parallel array, can be applied to weak signal detection under heavy noise. The experimental application in incipient fault feature detection of rolling element bearing has verified the effectiveness of MSBA model. This paper studies feature extraction method of rolling element bearing status degradation based on enhanced detection effect of MSBA model. Integrated features are proposed using local spectrum kurtosis and local signal-to-noise ratio of fundamental component of bearing faults. Different sizes of damages are planted on outer race of bearings for experimental validation.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016)
Part of series
Advances in Engineering Research
Publication Date
September 2016
ISBN
978-94-6252-228-2
ISSN
2352-5401
DOI
https://doi.org/10.2991/icmmbe-16.2016.32How 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  - Xiaofei Zhang
AU  - Jingwei Gao
AU  - Lijun Song
AU  - Shuming Yang
PY  - 2016/09
DA  - 2016/09
TI  - Feature Extraction of Bearing Status Based on Multi-Scale Bistable Stochastic Resonance Array
BT  - 6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016)
PB  - Atlantis Press
SP  - 165
EP  - 170
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmbe-16.2016.32
DO  - https://doi.org/10.2991/icmmbe-16.2016.32
ID  - Zhang2016/09
ER  -