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Abstract
Automatically detecting and locating faults in systems is of particular interest for mitigating undesired effects during operation. Many diagnosis approaches have been proposed including model-based diagnosis, which allows to derive diagnoses from system models directly. In this paper, we present a framework bringing together simulation models with diagnosis allowing for evaluating and testing diagnosis models close to its real world application. The frame- work makes use of functional mock-up units for bringing together simulation models and enables their integration with ordinary programs written in either Python or Java. We present the integration of simulation and diagnosis using a two-lamp example model.
Originalsprache | englisch |
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Titel | Industrial Artificial Intelligence Technologies and Applications |
Redakteure/-innen | Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie |
Herausgeber (Verlag) | River Publishers |
Kapitel | 9 |
Seiten | 113-127 |
Seitenumfang | 15 |
ISBN (elektronisch) | 9788770227902 |
ISBN (Print) | 9788770227919 |
DOIs | |
Publikationsstatus | Veröffentlicht - Juni 2022 |
Projekte
- 1 Abgeschlossen
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AI4DI - Künstliche Intelligenz für digitalisierende Industrie
1/05/19 → 31/05/22
Projekt: Forschungsprojekt