Enabling Automated Fault Tree Assessment to Support Aircraft Systems Architecting in Early Design Phases

Novel aircraft configurations require early safety assessments to prevent costly rework and validate feasibility. At the conceptual design stage, the primary challenge lies in deriving meaningful safety insights through qualitative and quantitative assessment methods in a manner compatible with the low granularity of preliminary architecture specifications. This paper presents an approach to represent the system architecture using a graph-based architecture descriptor that supports the automated generation of fault trees and enables a system architect to rapidly evaluate and reconfigure candidate system architectures based on quantitative safety metrics. The fault trees are generated by transforming the graph-based model of the architecture into an AltaRica 3.0 model with the behavior of each architecture element modeled on the incoming and outgoing power type, control signal, or mass flow. An aircraft landing gear braking system case study demonstrates the automated fault tree assessment and rapid architecture reconfiguration based on safety insights garnered from the fault tree assessment. Overall, the processes described in this paper enable safety-driven exploration of system architectures in conceptual design.

Authors

Institutions

Publication Details

Published
2025-04-07
DOI
https://doi.org/10.1109/syscon64521.2025.11014835
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enabling Automated Fault Tree Assessment to Support Aircraft Systems Architecting in Early Design Phases

Andrew K. Jeyaraj, Susan Liscouët-Hanke, Pierre-Olivier Paquette, Henry Wing et al.
Risk and Safety Analysis
article

Enabling Automated Fault Tree Assessment to Support Aircraft Systems Architecting in Early Design Phases

Andrew K. Jeyaraj, Susan Liscouët-Hanke, Pierre-Olivier Paquette, Henry Wing, Santiago Valencia-Ibáñez, Yumna Zaheer
article en

Abstract

Novel aircraft configurations require early safety assessments to prevent costly rework and validate feasibility. At the conceptual design stage, the primary challenge lies in deriving meaningful safety insights through qualitative and quantitative assessment methods in a manner compatible with the low granularity of preliminary architecture specifications. This paper presents an approach to represent the system architecture using a graph-based architecture descriptor that supports the automated generation of fault trees and enables a system architect to rapidly evaluate and reconfigure candidate system architectures based on quantitative safety metrics. The fault trees are generated by transforming the graph-based model of the architecture into an AltaRica 3.0 model with the behavior of each architecture element modeled on the incoming and outgoing power type, control signal, or mass flow. An aircraft landing gear braking system case study demonstrates the automated fault tree assessment and rapid architecture reconfiguration based on safety insights garnered from the fault tree assessment. Overall, the processes described in this paper enable safety-driven exploration of system architectures in conceptual design.

Concordia University (CA)
Natural Sciences and Engineering Research Council of Canada
Climate action
Openalex Percentile: Top 88%
Risk and Safety Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.