Abstract
Despite ample advantages of model-based diagnosis, in practice its use has been somehow limited to proof-of-concept prototypes. Some reasons behind this observation are that the required modeling step is resource consuming, and also that this step requires additional training. In order to overcome these problems, we suggest to use modeling languages like Modelica that are already established in academia and industry for describing cyber-physical systems as basis for deriving logic based models. Together with observations about the modeled system, those models can then be used by an abductive diagnosis engine for deriving the root causes for detected defects. The idea behind our approach is to introduce fault models for the components written in Modelica, and to use the available simulation environment to determine behavioral deviations to the expected outcome of a fault free model. The introduced fault models and gained information about the resulting deviations can be directly mapped to horn clauses to be used for diagnosis.
Original language | English |
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Title of host publication | Advances in Artificial Intelligence - 39th Annual German Conference on AI, KI 2016, Proceedings |
Publisher | Springer-Verlag Italia |
Pages | 185-191 |
Number of pages | 7 |
Volume | 9904 LNAI |
ISBN (Print) | 9783319460727 |
DOIs | |
Publication status | Published - 2016 |
Event | 39th Annual Conference on Artificial Intelligence: KI 2016 - University of Klagenfurt, Klagenfurt, Austria Duration: 26 Sept 2016 → 30 Sept 2016 http://ki2016.org/ |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 9904 LNAI |
ISSN (Print) | 03029743 |
ISSN (Electronic) | 16113349 |
Conference
Conference | 39th Annual Conference on Artificial Intelligence |
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Abbreviated title | KI 2016 |
Country/Territory | Austria |
City | Klagenfurt |
Period | 26/09/16 → 30/09/16 |
Internet address |
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
Fields of Expertise
- Information, Communication & Computing