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首页> 外文会议>Reliability and Maintainability Symposium (RAMS), 2012 Proceedings - Annual >Comparison modeling of system reliability for future NASA projects
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Comparison modeling of system reliability for future NASA projects

机译：未来NASA项目的系统可靠性比较模型

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A National Aeronautics and Space Administration (NASA) supported Reliability, Maintainability, and Availability (RMA) analysis team developed a RMA analysis me thodology that uses cut set and importance measure analyses to compare model proposed avionics computing architectures. In this paper we will present an effective and efficient application of the RMA analysis methodology for importance measures that includes Reliability Block Diagram (RBD) Analysis, Comparison modeling, Cut Set Analysis, and Importance Measure Analysis. In addition, we will also demonstrate that integrating RMA early in the system design process is a key and fundamental decision metric that supports design selection. The RMA analysis methodology presented in this paper and applied to the avionics architectures enhances the usual way of predicting the need for redundancy based on failure rat es or subject matter expert opinion. Typically, RBDs and minimal cut sets along with the Fussell-Vesely (FV) method is used to calculate importance measures are calculated for each functional element in the architecture [1]. This paper presents an application of the FV importance measures and presents it as a methodology for using importance measures in success space to compare architectures. These importance measures are used to identify which functional element is most likely to cause a system failure, thus, quickly identifying the path to increase the overall system reliability by either procuring more reliable functional elements or adding redundancy [2]. This methodology that used RBD analysis, cut set analysis, and the FV importance measures allowed the avionics design team to better understand and compare the vulnerabilities in each scenario of the architectures. It also enabled the design team to address the deficiencies in the design architectures more efficiently, while balancing the need to design for optimum weight and space allocations.
机译：美国国家航空航天局（NASA）支持的可靠性，可维护性和可用性（RMA）分析小组开发了一种RMA分析方法，该方法使用割集和重要性度量分析来比较模型建议的航空电子计算体系结构。在本文中，我们将介绍RMA分析方法对重要度量的有效和高效应用，其中包括可靠性框图（RBD）分析，比较模型，割集分析和重要性度量分析。此外，我们还将证明在系统设计过程的早期集成RMA是支持设计选择的关键和基本决策指标。本文介绍的RMA分析方法论应用于航空电子体系结构，增强了基于故障率或主题专家意见预测冗余需求的常用方法。通常，RBD和最小割集以及Fussell-Vesely（FV）方法用于计算体系结构中每个功能元素的重要性度量[1]。本文介绍了FV重要度度量的应用，并将其作为在成功空间中使用重要度度量比较体系结构的方法。这些重要措施用于确定哪个功能元件最有可能导致系统故障，从而通过购买更可靠的功能元件或增加冗余来快速确定增加整体系统可靠性的途径[2]。这种使用RBD分析，割集分析和FV重要性评估的方法，使航空电子设计团队能够更好地理解和比较每种架构情况下的漏洞。这也使设计团队能够更有效地解决设计架构中的缺陷，同时平衡对设计的需求，以实现最佳的重量和空间分配。

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