2010 8th IEEE International Conference on Industrial Informatics 2010
DOI: 10.1109/indin.2010.5549415
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Monitoring and diagnostics of hybrid automation systems based on synchronous simulation

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Cited by 6 publications
(4 citation statements)
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“…It can be used for determining the nominal state of the plant. If the simulation is operated in parallel to the plant, the measurable states of the real plant and of the simulation can be compared and deviations can be detected (Kain et al, 2008;Kain et al 2010;). Thus, the signals in the simulation can be used for realizing diagnostics.…”
Section: Methodsmentioning
confidence: 99%
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“…It can be used for determining the nominal state of the plant. If the simulation is operated in parallel to the plant, the measurable states of the real plant and of the simulation can be compared and deviations can be detected (Kain et al, 2008;Kain et al 2010;). Thus, the signals in the simulation can be used for realizing diagnostics.…”
Section: Methodsmentioning
confidence: 99%
“…Additionally, if the control system was optimized in the engineering phase according to assumed process parameters divergent from the current situation, changes of the parameters in the control system can improve the plant behavior. Therefore, the models of HiL Simulation can be applied predicting the behavior of the controlled plant, called Forward Simulation (Kain et al, 2008;Kain et al 2010;). Optimizing the control system offline based on verified HiL Simulation models representing the behavior of the plant in detail offers several advantages: In a first step, the optimal parameters can be determined based on simulation experiments with diverse constraints without influencing the real plant.…”
Section: Forward Simulationmentioning
confidence: 99%
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“…Additionally, if the control system was optimized in the engineering phase according to assumed process parameters divergent from the current situation, changes of the parameters in the control system can improve the plant behavior. Therefore, the models of HiL Simulation can be applied predicting the behavior of the controlled plant, called Forward Simulation (Kain et al, 2008;Kain et al 2010;.…”
Section: Forward Simulationmentioning
confidence: 99%