一类外场数据缺失时的部件寿命分布拟合方法

摘要

在外场可靠性分析中,部件小修故障数据流失情况比较严重,给真实使用条件下的部件可靠性评估工作带来了一定误差。针对此类外场数据缺失情况,利用混合Gamma分布建立部件寿命分布模型,利用改进的极大似然法进行参数估计,并对母体分布特征进行了统计推断,结合部件物理失效机理分析,得出了较为合理的寿命分布。%Field data missing account for mini-repairs in components reliability estimation is usually severe. Aimed to this situation, the mixture-Gamma distribution model is adopted to establish the lifetime distribution model of component, and the parameters are estimated using improved MLE method and Chi-square test. The distribution characteristics are statistically deduced and then a reasonable lifetime distribution is obtained with the analysis of physical failure mechanism of the component.