Bayesian Network Analysis of Safety of Intended Functionality of System Designs

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.