A Framework for Integrating Automated Diagnosis into Simulation

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review


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.
Original languageEnglish
Title of host publicationIndustrial Artificial Intelligence Technologies and Applications
EditorsOvidiu Vermesan, Franz Wotawa, Mario Diaz Nava, Björn Debaillie
PublisherRiver Publishers
Number of pages15
ISBN (Electronic)9788770227902
ISBN (Print)9788770227919
Publication statusPublished - Jun 2022


  • model-based diagnosis
  • fault detection
  • fault localization
  • physical simulation


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