Evaluation Method of Rolling Bearing Quality (Part I: Theory)
- DOI
- 10.2991/icsnce-16.2016.37How to use a DOI?
- Keywords
- Rolling bearing; Bearing quality; Grey system theory; Correlation degree
- Abstract
The influencing factor analysis of rolling bearing quality is an unknown probability distribution and correlation of complex research problems. It is not comprehensive to solve this type of problems only based on the classical statistics. In this paper, the nonlinear relationship between influencing factors and rolling bearing quality was analyzed using the grey system theory, and the linear relationship was analyzed by further combining classical statistical theory. The effect of influencing factors on the bearing quality was comprehensively considered. Finally, a regression model was established to determine the main factors affecting bearing quality, providing an effective solution and basic idea for the assessment of rolling bearing quality.
- 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/).
Cite this article
TY - CONF AU - Xintao Xia AU - Bin Liu AU - Zhen Chang AU - Yunfei Li AU - Wenhuan Zhu PY - 2016/07 DA - 2016/07 TI - Evaluation Method of Rolling Bearing Quality (Part I: Theory) BT - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering PB - Atlantis Press SP - 188 EP - 191 SN - 2352-5401 UR - https://doi.org/10.2991/icsnce-16.2016.37 DO - 10.2991/icsnce-16.2016.37 ID - Xia2016/07 ER -