In this article, a new method was practiced to form a model by using twofold Weibull mixture distribution in right-censored reliability data. The method depends on estimating the parameters of right-censored twofold Weibull mixture distribution in a most appropriate way to the data by using genetic algorithm techniques. The best model was tried to be found by using MSE, MAE and MAPE metrics, respectively, as fitness function in the method. To test the model, failure data of aircraft planes’ windshield, which is often used in the literature, was used and the results were compared with other methods in the literature. Furthermore, the performance of the method was compared for the sample sizes, censorship ratios and mixture proportions by conducting Monte Carlo simulation study.

在本文中，通过在右删失可靠性数据中使用双重Weibull混合分布，尝试了一种新的方法来形成模型。该方法依赖于使用遗传算法技术以对数据最合适的方式估计右删失的两次威布尔混合分布的参数。尝试通过分别使用MSE，MAE和MAPE指标作为适应度函数来找到最佳模型。为了测试该模型，使用了文献中经常使用的飞机挡风玻璃的失效数据，并将结果与​​文献中的其他方法进行了比较。此外，通过进行蒙特卡洛模拟研究，比较了该方法在样本量，审查率和混合比例方面的性能。