Efficient Inference on Generalized Fault Diagrams

TL;DR

This paper introduces a generalized fault diagram data structure for failure analysis that accommodates dependencies and repetitions, along with a heuristic method for efficient processing of these complex structures.

Contribution

It presents a novel generalized fault diagram framework and a heuristic algorithm for efficient inference, extending traditional fault tree analysis.

Findings

The generalized fault diagram captures dependencies among basic events.

The heuristic improves processing efficiency for complex fault diagrams.

The approach enhances failure analysis capabilities in complex systems.

Abstract

The generalized fault diagram, a data structure for failure analysis based on the influence diagram, is defined. Unlike the fault tree, this structure allows for dependence among the basic events and replicated logical elements. A heuristic procedure is developed for efficient processing of these structures.