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This paper presents a prediction model to predict biogas production for anaerobic digestion process of food waste. There exist sophisticated biogas production models in published literature, but the application of these models in anaerobic digestion process of food waste is often impractical because of its high complexity. Considering the shortcomings of the accuracy of these biogas production prediction...
A model which meets the law of grey exponent has been constructed for sequences based on the analysis of modeling mechanism in grey systems theory. And data in these sequences also meet the law of grey exponent. After the model is constructed, we make some simulations and present a numerical example. The result indicates that the prediction accuracy from this new model is much higher than that from...
Model predictive controller has been widely used in the industry process. Model-plant mismatch will directly affect the level of safety and economic benefits. So, Performance assessment and monitoring of MPC with mismatch is very important. A data-based covariance benchmark derived from reference is successfully illustrated for control performance assessment and monitoring the Wood-Berry tower MPC...
Model predictive controllers have been widely applied in refinery and chemical plant. The process model plays an important role in the performance assessment of model predictive control. In this work, a methodology is adopted for the diagnosis of model-plant mismatch (MPM) based on closed-loop operating data in the DMC system. The problem of MPM is transformed into the effectiveness of the model....
An unequal interval grey model is constructed to predict component reliability using meantime between failure data. The initial grey model developed focuses on predicting failure tendencies using equal time intervals or an equally spaced interval sequence for small sample sizes. Using this approach, the grey model does a poor job of predicting component reliabilities. To better predict component reliability...
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