Paper Info
Title
Reasoning-Supported Robustness Validation of Automotive E/E Components
Abstract
This paper presents an ontology-supported approach to tackle the complexity of the Robustness Validation (RV) process of automotive electrical/electronic (E/E) components. The approach uses formalized knowledge from the RV process and stress, operating, and load profiles, so-called Mission Profiles (MPs). In contrast to the error-prone industrially established manual procedure, we show how component characteristics are formalized in OWL in order to form the foundation of an efficient automated analysis selection and decision support during the RV process. The proposed approach is based on the idea of mapping MPs to an OWL representation so to allow to perform semantic queries against MP data to improve their integration into the RV process. The resulting ontology-supported application framework has been applied to an industrial use-case from automotive power electronics. We present experimental results showing that the RV process can be significantly improved in terms of reduced design time and increased exhaustiveness by automating the analyses selection step and the provisioning of all the relevant data to be used.
Year
DOI
Venue
2017
10.1109/ICSC.2017.28
2017 IEEE 11th International Conference on Semantic Computing (ICSC)
Keywords
DocType
Volume
Systems Engineering,Robustness Validation,Knowledge Based Engineering,Mission Profiles
Journal
11
Issue
ISSN
ISBN
4
2325-6516
978-1-5090-4285-2
Citations 
PageRank 
References 
0
0.34
12
Authors
4
Name
Order
Citations
PageRank
Jan Novacek100.34
Alexander Viehl218125.01
Oliver Bringmann358671.36
Wolfgang Rosenstiel41462212.32