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.
计算表明，其脉冲线周期性出现的平均频率与相应的故障特征频率相当吻合。
Computational results show that the mean impulse repetition rate of each impulse sequence in the time domain matches the corresponding characteristic defect frequency of the bearing very well.
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