对马尔可夫可修系统新类型故障发生时间的分布问题进行研究。
The time distribution of the ith new type failure for Markov repairable systems was studied.
本文对BMS进行了介绍，并分别利用随机过程中马尔可夫链的知识和时间序列中的INAR(1)模型对BMS进行了研究。
This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR (1) model in time series.
利用在更换周期点上具有的马尔可夫性质，以系统首次故障前平均工作时间最大为目标建立了确定最佳更换周期的模型。
Using the property of Markov at the points of replacement period, a model of determining the optimal period is developed with objective of maximizing the mean time to first failure of system.
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