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Using improved dynamic Bayesian networks in reliability evaluation for flexible test system of aerospace pyromechanical device products

机译：利用改进的动态贝叶斯网络在航空航天发球式设备产品柔性试验系统可靠性评估中

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摘要

The flexible test system (FTS) for aerospace pyromechanical device products (PDPs) is an important mean to accurately assess the quality of aerospace-grade PDPs. Since PDPs are disposable products produced in small batch and multi-batch, only a limited number of samples can be tested for each batch to evaluate the quality level of whole batch of products. Therefore, the reliability of ignition FTS is concerned to ensure the reliability of limited test samples. To meet the test requirements of PDPs, the ignition FTS adopts a flexible method to adapt to the different batch types and models. Besides, the reliability of ignition FTS is related to time and product batch task, the reliability evaluation method based on traditional Bayesian network can't describe the dynamic process of product batch. Therefore, this paper proposes a dynamic Bayesian network method based on the combination of time and batch factors to overcome the limitations of product batch change, and a channel configuration optimization method is introduced to meet the reliability requirements, which provides an effective mean for evaluating the FTS reliability. Numerical experiments show that the method can accurately reflect the reliability change of FTS for aerospace PDPs.
机译：用于航空航天发球式设备产品（PDPS）的柔性测试系统（FTS）是准确评估航空航天级PDP的质量的重要意义。由于PDPS是小批次和多批次生产的一次性产品，因此只有有限数量的样品，每批都可以测试，以评估整批产品的质量水平。因此，点火FTS的可靠性涉及确保有限测试样品的可靠性。为了满足PDP的测试要求，点火FTS采用灵活的方法来适应不同的批量类型和模型。此外，点火FTS的可靠性与时间和产品批量任务有关，基于传统贝叶斯网络的可靠性评估方法无法描述产品批次的动态过程。因此，本文提出了一种基于时间和批量因子组合的动态贝叶斯网络方法，以克服产品批量改变的局限性，并引入了通道配置优化方法以满足可靠性要求，这提供了评估的有效平均值FTS可靠性。数值实验表明，该方法可以精确地反映FTS用于航空航天PDP的可靠性变化。

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