高速加工中心可靠性统计技术应用

摘要

This article firstly analyzed the fault message of high speed machining center, and then intended probability density function and empirical distribution functions of the failure time based on the fault data. By assuming a Weibull distribution and calculate parameters of distribution model using least squares linear regression method, to set up the reliability of statistical computing model, and have the linear correlation test in order to draw a conclusion that the fault interval time of high speed machining center depends on the Weibull distribution, and to determine probability density function and empirical distribution function of the fault interval time, and finally work out the reliability indices MTBF.%对高速加工中心的故障信息进行分析,由故障数据拟合出故障间隔时间的概率密度函数和经验分布函数,假设服从威布尔分布,然后运用最小二乘法和一元线性回归方法计算分布模型的参数.建立可靠性统计计算模型,进行线性相关性检验,得出高速加工中心的故障间隔时间服从威布尔分布,并确定故障间隔时间概率密度函数和分布函数,最后求出可靠性指标MTBF.