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利用随机过程理论研究了复杂可修系统的可靠性规律，用随机过程模型中的Ｗｅｉｂｕｌｌ过程来描述复杂可修系统的可靠性规律。用Ｍｏｎｔｅ Ｃａｒｌｏ方法模拟验证了Ｗｅｉｂｕｌｌ过程模型的参数估计公式。其中参数β的最大似然估计误差低于２％，λ的最大似然估计误差低于７％。两组试验数据的处理结果表明Ｗｅｉｂｕｌｌ过程模型有较高的拟合精度。
The stochastic process theory is used to study the reliability of complex repairable systems. The Weibull process in stochastic process models is used to describe the reliability of complex repairable systems. Monte Carlo simulation method to verify the Weibull process model parameter estimation formula. The maximum likelihood estimation error of parameter β is less than 2% and the maximum likelihood estimation error of λ is less than 7%. The processing results of two sets of experimental data show that the Weibull process model has higher fitting accuracy.