TY - GEN
T1 - A model-based failure recovery approach for automated production systems combining SysML and industrial standards
AU - Bareiss, Patrick
AU - Schutz, Daniel
AU - Priego, Rafael
AU - Marcos, Marga
AU - Vogel-Heuser, Birgit
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/3
Y1 - 2016/11/3
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84996551456&partnerID=8YFLogxK
U2 - 10.1109/ETFA.2016.7733720
DO - 10.1109/ETFA.2016.7733720
M3 - Conference contribution
AN - SCOPUS:84996551456
T3 - IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
BT - 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation, ETFA 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2016
Y2 - 6 September 2016 through 9 September 2016
ER -