Projects per year
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.
|Title of host publication||Industrial Artificial Intelligence Technologies and Applications|
|Editors||Ovidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie|
|Number of pages||15|
|Publication status||Published - Jun 2022|
- model-based diagnosis
- fault detection
- fault localization
- physical simulation
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- 1 Finished
AI4DI - Artificial Intelligence for Digitising Industry
1/05/19 → 31/05/22
Project: Research project