Comparison of Performance of Different Algorithms in Noisy Signals Filtering of Process in Enzymatic Hydrolysis of Cheese Whey

This work presented the results of the implementation of an off-line smoothing algorithm in the monitoring system, for the partial hydrolysis of cheese whey proteins using enzymes, which used penalized least squares. Different algorithms for on-line signals filtering used by the control were also compared: artificial neural networks, moving average and smoothing algorithm.