以北京第二机床厂生产的MKS系列数控磨床为研究对象,使用采集的故障数据进行无故障间隔时间分布建模,利用最小二乘法进行了参数估计,经过拟合检验和拟合优度检验确定这些数据的无故障间隔时间趋近于威布尔分布。计算了该类数控磨床的可靠性评价指标:平均故障间隔时间、平均维修时间以及可用度。取得的研究成果得到了厂家的认可和应用,对数控磨床可靠性的研究和提升具有重大的意义。
MKS series CNC grinding machine of Beijing the second machine tool plant production as the research object, using the failure data of acquisition for distribution of time between trouble - free to establish model, and using least square method to estimate parameters. Knowing the data of distribution of time between trouble -free is to converge with the Weibull distribution after fitting test and goodness of fit test. Calculate the reliability evaluation index of the CNC grinding machines: MTBF, MTFR and availa- bility. Research results have been recognized and applied by the manufacturers. For research and pro- motion of CNC grinding machine reliability is of great significance.