Dimension Error Analysis of Bearing Manufacture Based on Probability Statistics

Abstract

Traditionally, quality control chart is usually used for the dimension error monitor in the bearing manufacture, which mainly shows qualitative results of the dimension distribution. However, probability statistical method is utilized for the dimension error analysis in the working procedure of the rolling bearing in this paper, which presents quantitative results. Furthermore, stock removal can be corrected by comparing the actual dimension probability distribution with the ideal one. Application in the bearing ring’s turning indicates that probability statistics has its advantage of quality control chart in the dimension error analysis and monitor.