To make a study of aero engine GH4133 turbine disk material failure, the bayesian prior distribution fusion turbine disk material fatigue failure information is used to obtain the posterior distribution, draw the curves of the turbine disk failure and low cycle fatigue life reliability and calculate the turbine disk life expectancy and the reliable life under P=99.87%. Results show that for the tur-bine disk smal sample problem, the bayesian prior distribution is used with the fatigue life information of the turbine disk materials to analyze its reliability. It can be used to extend the information of the analysis data and improve its accuracy.%为了在数据缺乏的状况下研究航空发动机GH4133涡轮盘材料失效问题，利用贝叶斯先验分布融合涡轮盘材料的疲劳失效信息，求得后验分布，绘制该涡轮盘的低周疲劳寿命失效曲线、疲劳寿命可靠度曲线，计算该涡轮盘的平均寿命以及可靠度P=99.87%下的可靠寿命。结果表明，针对涡轮盘小子样的问题，采用贝叶斯先验分布将涡轮盘材料的疲劳寿命信息融入到涡轮盘小子样可靠性分析中，可以扩展分析数据的信息，提高分析的准确度。
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