Accurate Reliability Prediction Based on RIDM

Qunyong Wang, Dongmei Chen, Hua Bai, Fajian Shi
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Abstract

The reliability of an item is the probability that it will adequately perform its specified purpose for a specified period of time under specified environmental conditions [1]. Uncertainty [2] in reliability prediction for complex electronic systems/equipment is mainly originated from the incomplete considerations on the specified environmental conditions and on the impacts to the equipment. This paper focuses on the incomplete considerations on the space radiation environment (SR see Acronyms in table 1) and their impacts on complex electronic equipment in satellites, airplanes, and ground network computers working daily in SR. Based on Risk Informed Decision Making (RIDM) analysis framework [3], this paper proposes an accurate reliability prediction method to accommodate SR and SR impacts on complex electronic equipment to avoid uncertainties originated from the incomplete considerations on SR theoretically more complete or accurate than the traditional methods, such as FIDES [4], MIL-HDBK-217 [5], etc, which has not considered SR. This paper is creative on the following 3 novel points. (1) SR reliability concept: For accurate reliability prediction, this paper proposes an SR reliability concept based on RIDM framework. The concept accommodates SR and SR impacts critical to mission success by the SR reliability definition and the RIDM 5 steps analysis method to have a close loop systematic thinking on incomplete considerations on SR. (2) SR reliability model: For an accurate reliability prediction based on the SR reliability concept, this paper proposes a new SR reliability model focused on the SR impact rate for complex electronic equipment, connecting the incomplete considerations of SR with mission success in a close loop by 1) The relationship [6] between Reliability and SR impact rate, 2) The relationship [6] between SR impact rate and TID, DD, and SEE impact rate, 3) The relationship between SEE impact rate and SEE effect rate. (3) SR reliability prediction application and verification: This paper provides 3 case studies on satellite, avionics, and ground network computer applications. Additionally, the SR impact rate for avionics of a satellite navigation receiver prototype is predicted and compared with the test results [7] with good agreement. Case studies show that for safety critical applications, the SR impact rate is significant and not negligible. And the SR reliability concept and model is practical and useful for displaying possible key contributions to SR mitigation strategies or Defense-in-depth systematically for mission success.This paper gives an example for the accurate reliability prediction based on RIDM, focusing only on accommodating SR. However, as a general systematic method, it can be applied in broader areas on more SR and non-SR stresses.
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基于RIDM的精确可靠性预测
一件物品的可靠性是指该物品在规定的环境条件下,在规定的时间内充分履行其规定目的的概率[1]。复杂电子系统/设备可靠性预测中的不确定性[2]主要来源于对特定环境条件和对设备影响的不完全考虑。本文重点关注空间辐射环境(SR见表1中的缩写词)的不完全考虑及其对SR中日常工作的卫星、飞机和地面网络计算机等复杂电子设备的影响。基于风险知情决策(RIDM)分析框架[3],本文提出了一种精确的可靠性预测方法,以适应SR和SR对复杂电子设备的影响,避免由于不完全考虑SR而产生的不确定性,在理论上比传统方法如FIDES[4]、MIL-HDBK-217[5]等没有考虑SR的方法更完整或准确。本文的创新点有以下3点。(1) SR可靠性概念:为了准确预测可靠性,本文提出了基于RIDM框架的SR可靠性概念。该概念通过SR可靠性定义和RIDM 5步分析方法,容纳SR和对任务成功至关重要的SR影响,对SR的不完全考虑进行闭环系统思考。为实现基于SR可靠性概念的准确可靠性预测,本文提出了一种以复杂电子设备SR冲击率为核心的SR可靠性新模型,通过1)可靠性与SR冲击率之间的关系[6],2)SR冲击率与TID、DD、SEE冲击率之间的关系[6],3)SEE冲击率与SEE效应率之间的关系,将SR与任务成功的不完全考虑联系在一个闭环中。(3) SR可靠性预测应用与验证:本文提供了卫星、航电和地面网络计算机应用的3个案例研究。此外,对卫星导航接收机原型机的航电系统SR冲击率进行了预测,并与试验结果[7]进行了比较,结果吻合较好。案例研究表明,对于安全关键应用,SR影响率是显著的,不可忽视的。SR可靠性概念和模型是实用和有用的,可用于显示SR缓解战略或系统地为任务成功进行纵深防御的可能关键贡献。本文给出了一个基于RIDM的精确可靠性预测的实例,它只关注适应SR,但作为一种通用的系统方法,它可以在更多的SR和非SR应力下应用于更广泛的领域。
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