This contribution highlights the synergetic effects between a posteriori and a priori verification of plant characteristics, especially in the context of evolving production systems. To do so, two approaches will be presented, one using an interdisciplinary modeling framework for model-driven engineering of automation systems, and one using a PLC-signal based monitoring technique for requirement verification. Afterwards synergies between both approaches in a combined approach are shown and illustrated in a case study.
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This contribution highlights the synergetic effects between a posteriori and a priori verification of plant characteristics, especially in the context of evolving production systems. To do so, two approaches will be presented, one using an interdisciplinary modeling framework for model-driven engineering of automation systems, and one using a PLC-signal based monitoring technique for requirement verification. Afterwards synergies between both approaches in a combined approach are shown and illus...
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