NDLI: Automation systems — Formal modeling of temporal change of physical structure

Content Provider	IEEE Xplore Digital Library
Author	Goring, M. Fay, A.
Copyright Year	2012
Description	Author affiliation: Automation Technology Institute, Helmut Schmidt University / University of the Federal Armed Forces Hamburg, Holstenhofweg 85, 22043, Germany (Fay, A.) \|\| Vattenfall Europe Nuclear Energy GmbH, Überseering 12, 22297 Hamburg, Germany (Goring, M.)
Abstract	Throughout the operation of an automation system component failures are unavoidable and inevitably result in changes of the physical automation system structure (which are usually compensated soon after by maintenance or repair). This is in this work referred to as: temporal change of physical structure (TeCoPS). Simultaneously, due to dependencies between the physical and the functional structures, the functional automation system structure is also affected (which can negatively influence physical plant processes). Analyses of the effects of TeCoPS must be performed as part of the automation system engineering. This task can be supported by automated analyses, e.g. with the help of knowledge-based systems (KBS). In the focus of this paper is the formal modeling, i.e. with unambiguous and complete syntax and semantics, of TeCoPS, which utilizes the Process Specification Language (PSL). Utilization of PSL enables the integration of TeCoPS as knowledge into KBS. In addition, the paper shortly introduces the underlying metamodel for the modeling of automation systems.
Starting Page	6160
Ending Page	6165
File Size	865951
Page Count	6
File Format	PDF
ISBN	9781467324199
ISSN	1553572X
e-ISBN	9781467324212
e-ISBN	9781467324205
DOI	10.1109/IECON.2012.6389073
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Specification languages Chaos Analytical models Predictive models
Content Type	Text
Resource Type	Article

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