Roller bearing is an indispensable part of modern manufacturing field. It provides the function of turning and reducing friction for mechanical equipment, which makes the manufacturing industry develop rapidly. At the same time, various methods to optimize the roller bearing have been developed one after another. Among them, the logarithmic curve roller bearing based on the logarithmic curve modification method can well reduce the "stress concentration phenomenon", thus effectively improving the service life of the roller bearing and indirectly improving the accuracy and service life of the mechanical equipment. Therefore, it is of great significance for the life of roller bearing and the performance of mechanical equipment to study the method that can improve the evaluation of log curve profile error.<br>In this paper, after searching and analyzing a lot of documents about the error evaluation of plane curve at home and abroad, combined with the minimum condition evaluation principle, the geometric characteristics of logarithmic curve and the requirements of the error evaluation of line profile, the least square algorithm, the geometric ergodic matching algorithm based on the minimum region and the geometric ergodic matching algorithm are determined. These three algorithms are used to evaluate the error of logarithmic curve.<br>The least square algorithm evaluates the profile error of logarithmic curve. Firstly, the mathematical model of logarithmic curve is established. According to the principle of least square algorithm, the least square logarithmic curve is fitted, and the normal distance between the measurement point and the fitted logarithmic curve is calculated to get the profile error of logarithmic curve. Based on the logarithm curve profile error calculated from the example data and the image characteristics reflected by the mathematical model, the feasibility of the algorithm is determined. On the basis of the least square algorithm, according to the principle of minimum area evaluation, the geometric traversal matching algorithm and the geometric traversal matching algorithm based on the minimum area are obtained. The effectiveness and accuracy of the algorithm are proved by example verification and image analysis.<br>The three algorithms mentioned in this paper are put forward according to the requirements of error evaluation combined with the geometric characteristics of logarithmic curve. Therefore, the principle of the algorithm is very simple. At the same time, there is no complicated mathematical formula involved in the evaluation process. Therefore, when using the algorithm described in this paper to evaluate, the calculation is relatively fast and convenient,<br>In this paper, through the analysis of the geometric characteristics of the logarithmic curve at any position in the plane, combined with the principle of least square and minimum area, the effective evaluation of the logarithmic curve error is realized.<br>
正在翻译中..