Rolling Bearing Fault Diagnosis Based on SR and BITD

DOI

10.2991/icmemtc-16.2016.339How to use a DOI?

Keywords

Bearing Fault Diagnosis; B-spline Intrinsic Time-scale Decomposition; Intrinsic Time-scale Decomposition; Stochastic Resonance

Abstract

An approach of fault diagnosis of rolling bearing based on B-spline Intrinsic Time-scale Decomposition (BITD) and Stochastic Resonance (SR) was presented. Firstly, SR was used to reduce the noise of the rolling bearing vibration signal, then the bearing vibration signal was decomposed into several Proper Rotations (PRs) by BITD,Finally, the PR containing fault information was analyzed with spectrum, The method was effectively verified by examples of fault diagnosis of rolling bearing

Copyright

© 2016, 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  - Xianyou Zhong
AU  - Jiaming Zhao
AU  - Li Zhang
AU  - Meibao Peng
PY  - 2016/04
DA  - 2016/04
TI  - Rolling Bearing Fault Diagnosis Based on SR and BITD
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 1801
EP  - 1804
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.339
DO  - 10.2991/icmemtc-16.2016.339
ID  - Zhong2016/04
ER  -