Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)

The Rotor Speed Choice of Signal Acquisition in a Ball Bearing-rotor System with a Raceway Local Defect Based on Dynamic Analysis

Authors
Rui Yang, Lei Hou, Yushu Chen
Corresponding Author
Rui Yang
Available Online August 2018.
DOI
https://doi.org/10.2991/caai-18.2018.50How to use a DOI?
Keywords
bearing local defect; ball bearing-rotor system; resonances; envelop analysis
Abstract

We intend to exploit the vibration status such as the resonance existed in a faulty bearing-rotor system on signal acquisition for diagnosis in this paper. We establish a symmetrical bearing-rotor-pedestal system to do the dynamic response analysis. The theoretical analysis indicates the resonances excited by the excitations can enhance the response in low-frequency range as well as the response in high-frequency range because the pulse energy produced by bearing defect increases under this situation. Finally, these conclusions are verified qualitatively by the experiment.

Copyright
© 2018, 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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Volume Title
Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
August 2018
ISBN
978-94-6252-595-5
ISSN
2589-4919
DOI
https://doi.org/10.2991/caai-18.2018.50How to use a DOI?
Copyright
© 2018, 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/).

Cite this article

TY  - CONF
AU  - Rui Yang
AU  - Lei Hou
AU  - Yushu Chen
PY  - 2018/08
DA  - 2018/08
TI  - The Rotor Speed Choice of Signal Acquisition in a Ball Bearing-rotor System with a Raceway Local Defect Based on Dynamic Analysis
BT  - Proceedings of the 2018 3rd International Conference on Control, Automation and Artificial Intelligence (CAAI 2018)
PB  - Atlantis Press
SP  - 209
EP  - 213
SN  - 2589-4919
UR  - https://doi.org/10.2991/caai-18.2018.50
DO  - https://doi.org/10.2991/caai-18.2018.50
ID  - Yang2018/08
ER  -