Statistical Analysis on Diameter Error of Bearing Cylindrical Roller with Different Precision and Levels
- DOI
- 10.2991/emcs-17.2017.290How to use a DOI?
- Keywords
- Cylindrical roller bearings; Roller bearings; Errors distribution; Statistical analysis
- Abstract
Selected cylindrical roller bearings of type NU204 as the research object, measured diameter of 10 sets of bearing rollers with P0 and P6 precision and level, and accounted respectively statistical data of diameter error of bearing roller of two precision and levels. Made normality test and descriptive analysis on error data of roller diameter, and made comparative study on distribution characteristics of roller diameter error in different levels and precision, then used population of 10 sets of bearings by P0 and P6 precision and level to verify to got normal distribution law. The results showed that about P0-level cylindrical roller bearings, its roller diameter distribution range was wide, but population approximately was matched with normal distribution with big skewness; about P6-level cylindrical roller bearings, its roller diameter distribution range was narrow with small skewness but its height was matched with normal distribution compared with P0-level. Respectively treated roller diameter error data of 10 sets of P0 and P6 precision as sample, overall verified normal distribution law and characters acquired by 4 sets of samples.
- Copyright
- © 2017, 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 - Jianbo Wei AU - Yujun Xue AU - Yongjian Yu AU - Jishun Li AU - Bitao Pang PY - 2017/03 DA - 2017/03 TI - Statistical Analysis on Diameter Error of Bearing Cylindrical Roller with Different Precision and Levels BT - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017) PB - Atlantis Press SP - 1492 EP - 1499 SN - 2352-538X UR - https://doi.org/10.2991/emcs-17.2017.290 DO - 10.2991/emcs-17.2017.290 ID - Wei2017/03 ER -