Physical-Statistical Hybrid Model for MIRROR PLANT
نویسندگان
چکیده
MIRROR PLANT uses physical plant modeling based on physical and chemical laws. However, the physical model cannot express some phenomena in plants, especially those which are not physically determined yet. We propose a hybrid model of a physical model and a statistical model based on historical plant operation data. Combining the physical model and statistical model improves the estimation accuracy of the statistical model. In addition, by applying the just-in-time (JIT) modeling to the on-line update of the statistical model, it can deliver exact estimation even during rapid changes in plant behaviors.
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