双参数指数分布型元件冷储备系统可靠性的广义近似置信限

摘要

In this paper, the reliability index of cold standby system under the timing truncation experimental data is evaluated by means of generalized approximate confidence limit and E-Bayes methods. Therefore, the generalized method of approximate confidence limits and the E-Bayes approximate confidence limit of the system reliability are obtained. The simulated result of Monte-carlo method indicates that E-Bayes method under small samples has significant advantages over the generalized approximate confidence limit, while under large samples the result is on the contrary.%利用广义近似置信限的方法和 E-Bayes 方法对定时截尾试验数据下冷储备系统的可靠性指标进行了估计，得到系统可靠性的广义近似置信限和E-Bayes近似置信限。蒙特卡罗方法模拟结果表明：小样本下，E-Bayes方法比广义近似置信限具有显著优势；大样本下，广义近似置信限比E-Bayes近似置信限有较大优势。