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A Dependency Modelling Framework for Integrating SysML Models and Failure Logs in a Knowledge Graph to Enhance FMEA through Knowledge Inference
Lipšinić, Zvonimir (1); Pavković, Neven (1); Husung, Stephan (2); Horvat, Nikola (3)
Type:
Year:
2026
Editor:
Langner, Christopher; Kreimeyer, Matthias; Panarotto, Massimo; Cascini, Gaetano; Browning, Tyson R.; Eppinger, Steven D.; Yassine, Ali A.
Author:
Series:
DSM
Institution:
1: University of Zagreb Faculty of Mechanical Engineering and Naval Architecture, Croatia;
2: Technische Universität Ilmenau, Germany;
3: Končar D&ST, Croatia
Page(s):
101-110
DOI number:
ISBN:
NA
ISSN:
NA
Abstract:
Increasing product complexity challenges the effective use of Failure Mode and Effects Analysis (FMEA), which is still often conducted in a document-centric and weakly connected manner. This paper proposes a dependency modelling framework for integrating SysML product models and failure logs into a unified Knowledge Graph (KG). The SysML product model is structured according to requirements, functional, logical, and physical layers, while failure-log information is organized using FMEA-related ontology concepts. The method analyses selected SysML and FMEA relations, their semantics, and their binary relation properties in order to establish a formal basis for subsequent rule-based reasoning. The resulting framework provides a semantically structured foundation for linking product model dependencies with safety-relevant knowledge and supports future knowledge derivation for FMEA within an MBSE compatible environment.
Keywords:
