A model-based failure recovery approach for automated production systems combining SysML and industrial standards

Patrick Bareiss, Daniel Schutz, Rafael Priego, Marga Marcos, Birgit Vogel-Heuser

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

14 Scopus citations

Abstract

This work presents a failure recovery approach for foreseen failures of automated production systems to minimize the downtime of a system due to stoppages. In contrast to the common practice of implementing field control software, we suggest the use of operation states with pre- and postconditions. A set of operation states forms an operation state machine, whereby several operation state machines are used in a hierarchical manner in order to control and observe the process. The meta-model of the Systems Modeling Language (SysML) is extended to combine operation state machines with OMAC State Machines. By dividing the failure detection from the process controller the necessary flexibility is given to adapt this approach to different packaging machines.

Original languageEnglish
Title of host publication2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013142
DOIs
StatePublished - 3 Nov 2016
Event21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016 - Berlin, Germany
Duration: 6 Sep 20169 Sep 2016

Publication series

NameIEEE International Conference on Emerging Technologies and Factory Automation, ETFA
Volume2016-November
ISSN (Print)1946-0740
ISSN (Electronic)1946-0759

Conference

Conference21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016
Country/TerritoryGermany
CityBerlin
Period6/09/169/09/16

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