Research on No-Failure Data Evaluation Method Based on Imported Failure Information

Y. Qian, Chao Jiang
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Abstract

For the case of no-failure data under the weibull distribution, when the prior distribution is Beta distribution, the ranges of super-parameters a and b are determined by the characteristics of probability density function. After introducing failure information, the method of the multi-level bayes estimation is modified. The robustness and feasibility of the method are verified by comparing the error of failure probability and the reliability calculated.
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基于导入故障信息的无故障数据评估方法研究
对于weibull分布下的无失效数据,当先验分布为Beta分布时,超参数a和b的取值范围由概率密度函数的特征决定。在引入故障信息后,对多级贝叶斯估计方法进行了改进。通过对失效概率误差和可靠性计算结果的比较,验证了该方法的鲁棒性和可行性。
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