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Enhanced reliability prediction method based on merging military standards approach with manufacturer's warranty data

机译:基于融合军事标准方法的增强可靠性预测方法,制造商的保修数据

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This paper presents a practical method of enhancing the process of reliability prediction by merging empirical equations of MIL-HDBK-217 [1] with generic component failure rates, which are obtained from manufacturer's warranty data. Each of those two reliability prediction methods have advantages and disadvantages; though the appropriate combination of both would help the user to overcome their shortcomings and make the most of their benefits. The merging of the two methods can be accomplished by adjusting the appropriate empirical equations and coefficients from MIL-HDBK-217 by multiplying them by W{sub}(CF). Where W{sub}(CF) is a "warranty correction factor", derived from the analysis of manufacturer's warranty return data. The proposed procedure would greatly enhance the reliability prediction process by: a. improving the accuracy of MIL-HDBK-217 calculation technique b. providing a built-in consistency of the results with the product's warranty data c. utilizing product/component history d. allowing to account for specific component usage conditions e. minimizing the adverse effect of less certain variables, such as quality factor, serial resistance, and others, on the accuracy of reliability prediction. f. providing a higher degree of credibility in the eyes of the customer accustomed to traditional reliability prediction methods.
机译:本文介绍了通过使用普通组件故障率的MIL-HDBK-217 [1]的经验方程来提高可靠性预测过程的实用方法,从制造商的保修数据中获得。这两个可靠性预测方法中的每一个都具有优缺点;虽然两者的适当组合都会有助于用户克服他们的缺点并充分利益。通过将适当的经验方程和系数从MIL-HDBK-217乘以W {SUB}(CF)来通过调整适当的经验方程和系数来实现这两种方法的合并。其中w {sub}(cf)是“保修校正因子”,从制造商的保修返回数据的分析中导出。所提出的程序将大大提高可靠性预测过程:a。提高MIL-HDBK-217计算技术的准确性b。通过产品的保修数据C提供结果的内置一致性。利用产品/组件历史d。允许考虑特定的组件使用情况e。最小化不可靠性预测精度的质量因数,串抗等变量的不利影响。 F。在客户的眼中提供更高程度的可信度,习惯于传统的可靠性预测方法。

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