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AUTOMATIC WEIBULL RELIABILITY PREDICTION AND CLASSIFICATION

机译:自动威布尔可靠性预测和分类

摘要

A computing system and method for classifying a reliability distribution model for a part derived from empirical reliability data for the part includes a module for converting the reliability distribution model and the empirical reliability data into a plurality of data points in a matrix. The matrix is inputted to a machine-learned pattern recognition algorithm trained to assign the matrix to one of a predetermined plurality of classes. The machine-learned algorithm assigns the matrix to one of a predetermined plurality of classes according to an assessment, by the machine-learned pattern recognition algorithm, of the statistical fit between the reliability distribution model and the empirical reliability data on which the reliability distribution model was based.
机译:一种用于对从零件的经验可靠性数据得出的零件的可靠性分布模型进行分类的计算系统和方法,包括用于将可靠性分布模型和经验可靠性数据转换为矩阵中的多个数据点的模块。将该矩阵输入到机器学习的模式识别算法中,该算法被训练为将矩阵分配给预定的多个类别之一。机器学习算法根据机器学习模式识别算法的评估,将矩阵分配给预定的多个类别之一,该评估是对可靠性分布模型与经验可靠性数据之间的统计拟合进行评估的根据。

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