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/).

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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  -