【摘要】 基于单元随机化最优置信经典 (法 )近似下限的取值范围 ,利用其边界值所提供的总信息量的算术平均值与熵 (法 )近似下限 R′ L ,S所提供的总信息量相等的条件 ,推导了求解 R′ L ,S的基本公式 ,提出了单元可靠性熵法评定的基本原理和方法步骤。实例表明 ,熵法评定结果总是介于非随机化最优置信经典 (法 )和第 (1 )种 Bayes(法 )近似下限之间。更多还原

【Abstract】 Information quantity and Information entropy are applied to the reliability assessment of units. Based on the value scope of the random most-excellent classical (method) approximate lower limit of units, and the condition i.e. that the arithmetic mean of the total information provided by the boundary values is equivalent to the total information provided by the entropy (method) approximate lower limit R′ L,S , R′ L,S can be solved. The formula and steps of the reliability entropy (method) assessment for units are given. Examples show that results of the reliability entropy (method) assessment are always between the non-random most-excellent classical (method) approximate lower limit and a Bayes (method) approximate lower limit. Result is very satisfactory.更多还原