基于Bayes法的电主轴极小子样可靠性研究

Extremely small sample's reliability of a motorized spindle based on Bayes method

针对长寿命的磨削电主轴极小子样的可靠性评估问题,提出了Bayes结合虚拟增广样本的分析方法。首先,在Bayes法基本流程的指导下,研究了基于Bayes法的磨削电主轴可靠性评估方法。根据定时截尾试验的原则对电主轴进行可靠性试验,应用Bayes法结合磨削电主轴试验样本的可靠性试验数据,综合虚拟增广样本法对其可靠性进行评估,最终获得电主轴的可靠性评估结果。最后,将基于Bayes法与基于伪寿命分布法的磨削电主轴极小子样可靠性评估结果进行比较,以验证基于Bayes法可靠性评估理论的合理性。

Aiming at the reliability evaluation of Bayes method combined with virtual augmented sample a long life grinding motorized spindle＇s extremely small sample, a was proposed. Firstly, under the guidance of the basic process of Bayes method, the reliability evaluation method of a grinding motorized spindle based on Bayes method was studied. According to the principle of timing truncation tests, the reliability tests of the motorized spindle were conducted. Then, Bayes method combined with the reliability testing data of the grinding motorized spindle＇s testings sample and the virtual augmented sample method was applied to assess the reliability of the spindle. Furthermore, the reliability evaluation results of the motorized spindle were obtained. Finally, the reliability evaluation results of the grinding motorized spindle based on Bayes method and those based on the false life＇s distribution method were compared to verify the correctness of the proposed method.