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Application of storage life prediction model based on performance degradation distribution in fuze storage life prediction

机译:储存寿命预测模型在引信储存寿命预测中的性能下降分布

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How to evaluate the storage life of inventory fuze with the test data of previous years is an urgent problem to be solved at present. Based on the performance degradation distribution, this paper presents a storage life prediction model for high reliability and long life fuze. It is divided into normal type and Weibull type. First, the degradation data are tested by distribution hypothesis testing, and the life prediction model is selected. Secondly, the performance distribution parameters are calculated and the curves are fitted to obtain the relationship between the parameters and the time that is the performance degradation model, and then the failure threshold D_f and the performance degradation distribution model are brought into the life prediction model, and the life evaluation equation is established. Finally, selecting the reliability of fuze prediction unit to predict fuze life. In this paper, we use the Normal and Weibull type life prediction models to predict the life of the detector unit of capacitance proximity fuze. The Normal and Weibull type prediction results are 21.332 and 20.707 years respectively, and the two model calculation results meet the requirements of the fuze storage life.
机译:如何评估库存引信的储存寿命与前几年的测试数据是目前要解决的紧急问题。基于性能下降分布,本文提出了高可靠性和长寿命引信的储存寿命预测模型。它分为正常类型和Weibull类型。首先,通过分布假设检测测试劣化数据,选择寿命预测模型。其次,计算性能分布参数,并拟合曲线以获得参数与性能下降模型的时间之间的关系,然后将故障阈值D_F和性能下降分布模型进入寿命预测模型,并且建立了寿命评估方程。最后,选择引信预测单元的可靠性来预测引发寿命。在本文中,我们使用正常和Weibull型寿命预测模型来预测电容接近引信的检测器单元的寿命。正常和Weibull类型预测结果分别为21.332和20.707年,两种模式计算结​​果符合引信储存寿命的要求。

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