The robust data is shown in the figure 4-13, the calculation results are shown in , the average range of friction torque is [0.1 When the value of D, is the smallest, that is, 10% of the friction torque data is discrete data. Therefore, this part of the discrete data is robustly processed to obtain the friction torque robust data and use these data to obtain the prior density function.

Rolling bearing friction torque data analysis: Now take A rolling bearing as an example to analyze the average value of rolling bearing friction torque as shown in Figure 3-1, and rolling bearing friction torque performance parameters are shown in Table 8-1. According to the comparison of the data in Table 8-1 and Table 8-2, it is found that the average value and variance of the data after the robustness processing (that is, the prior density function parameters) are smaller than the average value and variance of the original data, indicating that the data robustness processing is indeed reduced The influence of discrete data on overall data is discussed. 

The results are shown in Figure 8-2.3533888. In addition, these three The change trend of the parameters has no obvious law, which shows that the size, distribution and change trend of the friction torque data of rolling bearings are diverse and complex. In order to better analyze the characteristics of the friction torque of the rolling bearing, the robust processing method of the data is used to obtain the prior density function of the friction torque of the rolling bearing. 

 It can be seen from the parameters that the median range of friction torque of rolling bearings is [. Table 8-1 shows the comparison of the median, average and variance of the performance parameters of rolling bearing friction wheel bearing kits torque as the significance level increases, the value of D decreases, indicating that there are some discrete data in the friction torque data; at the significance level 0. 

Posted by: Lauri at November 16, 2023 07:32 AM (7zUuG)

Hide Comments | Add Comment