Rolling bearing friction torque data analysis

Rolling bearing friction torque data analysis: is A rolling bearing as an example to analyze the average rolling bearing friction torque as shown in figure 3 - 1, the performance parameters of the rolling bearing friction torque are shown in table 8 - 1. Table 8 - 1 shows the performance parameters of rolling bearing friction torque median, mean value, variance of contrast. As can be seen from the parameter, is the scope of rolling bearing friction torque median [ 。 44774, 0. 616786] , the average friction torque range is [ 0. 465615199, 0. 639095702] That the variance of friction torque range is [ 0. 017521967, 0. 3533888 in addition, the change trend of these three parameters had no obvious regularity, indicating the size of the rolling bearing friction torque data, distribution and change trend of diversity and complexity. In order to better analyze the characteristics of rolling bearing friction torque, using the data of sound processing method to get the prior density function of rolling bearing friction torque. Therefore, to improve data sequence collating sequence of absolute value of mean and the median absolute deviation D; To reflect the different significance level, the data is stable, the results are shown in figure 8 2. According to the figure 8 - 2 you can see, the significance level of 0 ~ 0. 1, with the improvement of significance level, D; Value decreases, and that the friction torque data exists in the part of the discrete data; The significance level of 0. , 1 D, minimum value, in which 10% of the friction torque data for discrete data, for this will be the part of the discrete data of the steady, friction torque robust data and use these data to get a prior density function, the robust data as shown in figure 4 13, the calculation results are shown in table 8 - 2. 8 - according to the table 1 and 8 2 data contrast, found that the steady after processing the mean value and variance of data ( The prior density function parameters) Is smaller than the mean value and variance of the original data, the data sound processing indeed reduce the influence of the discrete data of the overall data.