摘要
对某厂的MKS系列数控磨床的冷却系统的故障数据进行处理,绘制冷却系统故障间隔时间分布函数散点图以及分布密度函数散点图,利用参数估计以及数据拟合确定冷却系统模型的所属分布类型为指数分布。根据所属分布类型确定冷却系统的平均故障间隔时间MTBF,计算冷却系统的平均维修时间MTTR,进而计算冷却系统的固有可用度A。所得结果已经反馈到生产厂家,并获得认可,对数控磨床可靠性的提升有重要意义。
The cooling system failure data of the MKS CNC grinding machine was processed,the scatter plot of the distribution function and the scatter plot of the distribution density function of the cooling system were drawn,and parameter estimation and data fitting were utilized to determine that the model of cooling system is exponential distribution. According to the distribution type,the mean time between failures( MTBF) and the maintenance time to repair( MTTR) of the cooling system were calculated,and then the inherent availability( A) of the cooling system could be determined. The results had been fed back to the manufacturer and approved. It is significant to improve the reliability of the CNC grinding machine.
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