引入失效情形下某型液压电机可靠性分析

针对直接使用无失效数据对装备进行可靠性分析而产生的“冒进”问题，通过引入失效信息对数据进行综合处理，从而对可靠性参数进行合理的估计。以寿命服从指数分布的某型导弹液压电机为例，在其失效率的先验分布为Gamma分布且超参数均服从均匀分布时，证明了失效率在无失效数据时的期望Bayes（E-Bayes）估计法，提出了改进型的截尾试验时间的确定方法，通过引进失效信息，推导了失效率的综合E-Bayes估计法，并给出了可靠度的综合估计法。结合液压电机无失效数据实例，计算得到失效率和可靠度的综合E-Bayes估计，与现有的方法相比，二者的极差分别减小了22.33%和38.02%，说明了所提方法的合理性与可用性。 

Reliability analysis on one type of hydraulic motor in the case of introducing failure

To solve an aggressive problem of directly using zero-failure data to analyze the reliability of the equipment, the data was comprehensively processed by introducing the failure information, and the reliability parameters could be estimated more reasonably. Taking a certain type of missile hydraulic motor whose life expectancy was exponentially distributed as an example, the Expected Bayes (E-Bayes) estimation of the failure rate in the case of zero-failure data was proved when the prior distribution of the failure rate was the Gamma distribution and the hyper-parameters were uniformly distributed. An improved method was proposed to determine the censoring test time. By introducing the failure information, the comprehensive E-Bayes estimation method of failure rate was derived, and the comprehensive estimation method of the reliability was given. For zero-failure data of the hydraulic motor, the comprehensive E-Bayes estimations of the failure rate and reliability are calculated. Compared with the existing methods, the range between the two is reduced by 22.33% and 38.02%, respectively. The computation results indicate the reasonability and availability of the proposed method.