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BAYESIAN NETWORK ANALYSIS OF SAFETY OF INTENDED FUNCTIONALITY OF SYSTEM DESIGNS

机译:系统设计预期功能安全性的贝叶斯网络分析

摘要

This document describes analysis of a functional architecture under the Safety of Intended Functionality of System (SOTIF) standard through construction of Bayesian networks that model performance of the functional architecture. The Bayesian networks model performance of the functional architecture given triggering conditions that result in at least some possible hazards. Constructed based on estimated probability data or probability data collected, the Bayesian networks quantify uncertainty of the system performance using conditional probabilities representing causal relationships between modules or components of the functional architecture. This allows inference and other probabilistic algorithms to be performed by the Bayesian network to calculate an overall hazard-rate of the functional architecture as well as identifying weaknesses in the functional architecture. A hazard-rate-of-occurrence can be estimated for many different system configurations and use cases to prove whether SOTIF is achieved.
机译:本文件描述了在系统预期功能安全(SOTIF)标准下,通过构建模拟功能架构性能的贝叶斯网络,对功能架构进行的分析。贝叶斯网络对给定触发条件下的功能架构的性能进行建模,这些触发条件至少会导致一些可能的危险。基于估计的概率数据或收集的概率数据,贝叶斯网络使用表示功能架构模块或组件之间因果关系的条件概率来量化系统性能的不确定性。这允许贝叶斯网络执行推理和其他概率算法,以计算功能架构的总体风险率,并识别功能架构中的弱点。对于许多不同的系统配置和用例,可以估计危险发生率,以证明是否实现了SOTIF。

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