You want to see how well it predicts when the plant is jumping, because that's when the model is needed the most. Model Fidelity Assessment provides the means for assessing the performance of an on-line model estimator. It is a much more accurate and reliable measure of model fidelity than a simple comparison of the model prediction to the lab data, as it accounts for the underlying movement of the process. All inferential models should use this tool. Benefits Enables the targeting and improvement of models most in need of updating.
Helps identify whether a model is adequate for closed loop control.
Saves money by providing an assessment of whether you need to buy the latest modelling technology.