文章基本信息

标题：Diagnosis Analysis of Modelica Models
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作者：Mattias Krysander ; Erik Frisk ; Ingela Lind 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：24
页码：153-159
DOI：10.1016/j.ifacol.2018.09.549
语种：English
出版社：Elsevier
摘要：AbstractTo 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.
关键词：KeywordsFault diagnosisModelicaFault IsolationDifferential-algebraic models