中文摘要：

为了实现废旧零部件资源的最优化利用，从剩余使用寿命的角度建立废旧零部件再制造方案决策模型。以零部件失效数据和历史服役工况数据为基础，联合威布尔分布和人工神经网络模型来评估废旧零部件的剩余使用寿命。对于具有剩余使用寿命的废旧零部件，以定量的方式分析其第一次寿命末期和剩余寿命末期的可靠性，并结合企业制定的零部件可靠性阈值，确定废旧零部件的再制造方案，即再利用、再制造或再循环。以发动机叶片为例，验证了上述模型的可行性。

英文摘要：

To realize the optimum utilization of used parts resources, remanufacturing decision ＇model of used parts is established from the viewpoint of remaining useful life estimation. Based on the failure data and history floor data of used parts, Weibull distribution and artificial neural network are integrated to assess the remaining useful life. For the used parts with remaining useful life, reliability is analyzed at the end of its first life and residual life in a quantitative way respectively, combined with the parts＇ reliability threshold, the rcmanufacturing scheme of used parts is determined, namely reuse, remanufacturing or recycle. An engine blade is taken as an example to illustrate the feasibility of the decision model.