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Diagnosis Analysis of Modelica Models
Linköpings universitet, Institutionen för systemteknik, Datorteknik. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0003-4965-1077
Linköpings universitet, Institutionen för systemteknik, Fordonssystem. Linköpings universitet, Tekniska fakulteten.
Saab Aeronaut, Linkoping, Sweden.
Saab Aeronaut, Linkoping, Sweden.
2018 (engelsk)Inngår i: IFAC PAPERSONLINE, ELSEVIER SCIENCE BV , 2018, Vol. 51, nr 24, s. 153-159Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

To leverage on model based engineering for fault diagnosis, it is useful to be able to do direct analysis of general purpose modelling languages for engineering systems. In this work, it is demonstrated how non-trivial Modelica models, for example utilizing the Modelica standard library, can be automatically transformed into a format where existing fault diagnosis analysis techniques are applicable. The procedure is demonstrated on a model of an air cooling system in the Gripen fighter aircraft developed by Saab, Sweden. It is discussed why the Modelica language is well suited for diagnosability analysis, and a number of non-trivial diagnosability analysis shows the efficacy of the approach. The methods extract the model structure, which gives additional insight into the system, e.g., highlighting model connections and possible model decompositions. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

sted, utgiver, år, opplag, sider
ELSEVIER SCIENCE BV , 2018. Vol. 51, nr 24, s. 153-159
Emneord [en]
Fault diagnosis; Modelica; Fault Isolation; Differential-algebraic models
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-152643DOI: 10.1016/j.ifacol.2018.09.549ISI: 000447016900023OAI: oai:DiVA.org:liu-152643DiVA, id: diva2:1262058
Konferanse
10th International-Federation-of-Automatic-Control (IFAC) Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS)
Tilgjengelig fra: 2018-11-09 Laget: 2018-11-09 Sist oppdatert: 2019-09-23

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