发动机可靠性多级综合的信息熵法第一近似限
Information Entropy Method for Engine Reliability First Approximate Confidence Limits
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摘要: 从信息理论的基本原理出发 ,根据部件或分系统的试验或使用数据提供的信息量与产品折合试验应提供的信息量相等的原则 ,将部件或分系统的试验或使用信息折合为产品的等效试验信息 ,建立了由各种成败型部件或分系统组成系统时部件或分系统试验信息等效折合的数学模型 ;根据单元可靠性评定的基本原理 ,给出了基于信息理论的发动机可靠性第一近似限综合评定的基本模型。通过实例说明了模型的具体应用 ,并与传统方法的评定结果进行了比较 ,说明了模型的正确性和实用性。Abstract: According to the equivalence theorem of information quantity provided by the practical test of the parts or subsystems and the equivalence test of the system the test data of the parts or subsystems are converted into the equivalence test data of the system.Furthermore,the computation model of the practical test information of the parts or subsystems and the system equivalence conversion model are formulated and presented.In the light of the basic principle of unit reliability assessment,the general models of entropy method synthesis are established for system reliability first approximate confidence limits.These models include system reliability s-Classical non-randomization optimization first approximate limits (lower,upper and two-side limits),and system reliability s-Bayes first approximate limits (lower and upper limits).An example is given and the assessment results are satisfactory in comparison with the traditional methods.
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