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System Testability Modeling and Analysis Based on Device Level Failure Mode Effect and Criticality Analysis

机译:基于设备级故障模式效应和关键性分析的系统可测试性建模与分析

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摘要

The testability of equipment has become the key factor affecting equipment availability, and detracts from readiness and mission success. To overcome the current problems associated with the analysis of equipment testability, such as non-comprehensive failure mode coverage, low fault detection rate, and low fault location accuracy, this paper presents a system testability modeling and analysis method based on a summary of the results of device level failure mode effect and criticality analysis (FMECA), which is developed according to the failure data of components and a hardware impact analysis. In particular, we present a mathematical multi-signal model, quantitative methods and mathematical models of system testability, and the implementation processes of system testability modeling. The proposed method allows the failure modes of a module to be obtained accurately and comprehensively. By functioning at the device level, the method provides good fault location accuracy, and improves the authenticity of system testability analysis results. Finally, the testability of an actual electronic system is conducted using CARMES, which is a widely used reliability engineering software. The results verify the effectiveness and authenticity of the presented method, which can also provide a reference for the testability modeling and analysis of follow-up system design.
机译:设备的可测试性已成为影响设备可用性的关键因素,并减损准备和使命的成功。为了克服与设备可测试性分析相关的当前问题,如非全面的故障模式覆盖,低故障检测率和低故障定位精度,本文提出了一种基于结果摘要的系统可测试性建模和分析方法设备级故障模式效应和关键性分析(FMECA),根据组件的故障数据和硬件影响分析开发。特别是,我们介绍了一个数学多信号模型,定量方法和系统可测试性的数学模型,以及系统可测试性建模的实现过程。所提出的方法允许精确且全面地获得模块的故障模式。通过在设备级别运行,该方法提供良好的故障定位精度,并提高了系统可测试性分析结果的真实性。最后,使用CARMES进行实际电子系统的可测试性,这是一种广泛使用的可靠性工程软件。结果验证了呈现的方法的有效性和真实性,这还可以为后续系统设计的可测试性建模和分析提供参考。

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