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B of steady rolling bearing friction torque data processing

by:Waxing     2020-06-17
According to the improved Huber M method to sort on the experimental data, the first to find the median, compute the mean value and variance of the original data. Rolling bearing friction torque median and mean different, that mean is affected by the discrete data; Also can be seen from the average maximum, minimum and its difference is bigger, rolling bearing friction torque are discrete data, experimental data have to be steady. Robust in order to reflect the data processing of contrast effect, according to the median rolling bearing friction torque, maximum, minimum, average, variance, the hierarchy for rolling bearing, is divided into three levels, and the less symbol '*', explain the bearing level is higher. Parameter D; Is a new data rolling bearing friction torque and the absolute value of the difference between the median, robustness, and can reflect the new data with the original data D; The calculation results as shown in figure 4 14. Abscissa diagram, as the level of significance, value range is 0 ~ 0. 1; Ordinate for Di, the unit for the uN: m, D; The smaller the explain data more robust. D, the complexity and diversity, including 1, 2, 4, 5, 6, 8 sets of bearings, D, value monotone decreasing; 3, 7 sets of bearings, D, increases monotonously value; 9, 10 sets of bearings, D, value decreases after increasing first. According to D, the principle of minimum data the most robust, 1, 2, 4, 5, 6, 8 sets of bearing significance level of 0. 1, 3, 7 sets of bearing significance level 0, 9, 10 sets of bearing significance level 0 respectively. 6, 0. The euro.
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