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SERD: A simulation framework for estimation of system level reliability degradation

机译:SERD:用于评估系统级可靠性下降的仿真框架

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Development of highly reliable embedded control systems is typically performed following the model driven engineering paradigm. Such systems involve software controlled interaction of mechanical subsystems. The aging of the overall system depends on the physical aging or reliability decay of the underlying mechanical components. The reliability of such components degrade according to their rate of usage which again is governed by the software control logic and input environment. Such dependencies of component reliabilities make the problem of deriving system level reliability degradation using exact methods combinatorially intractable. Given the fact that model driven system design advocates the usage of initial high level system models, methods for early stage lifetime reliability and reliability degradation estimation based on such initial models should definitely aid in robust high assurance engineering of such software controlled physical systems. The present work proposes SERD, a lightweight, scalable simulation framework for embedded control systems. It can accommodate active as well as quiescent reliability decay rates of underlying mechanical components. It uses path based reliability modeling to estimate the reliability degradation of component based systems that are controlled by software logic. Its efficacy is further demonstrated using a thorough case study.
机译:高度可靠的嵌入式控制系统的开发通常遵循模型驱动的工程范式进行。这样的系统涉及软件控制的机械子系统的交互。整个系统的老化取决于基础机械组件的物理老化或可靠性下降。这些组件的可靠性会根据其使用率而降低,而使用率又由软件控制逻辑和输入环境控制。组件可靠性的这种依赖性使得使用组合方法难以解决的精确方法导致系统级可靠性下降的问题。考虑到模型驱动的系统设计提倡使用初始高级系统模型这一事实,基于此类初始模型进行早期寿命可靠性和可靠性退化估计的方法无疑应有助于此类软件控制的物理系统的稳健的高保证工程。本工作提出了SERD,这是一种用于嵌入式控制系统的轻量级,可扩展的仿真框架。它可以适应基础机械组件的主动以及静态可靠性衰减率。它使用基于路径的可靠性建模来估计由软件逻辑控制的基于组件的系统的可靠性下降。通过全面的案例研究进一步证明了其功效。

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