Patent ID: 6584366
Filing Date: 2003-06-24
Classification: B65H,G05B,Y10S

Abstract:
A method for neural modeling of a paper winding device, further comprising the steps of:a) measuring and storing influencing and control quantities of a paper winding device in a first step for training of a neural network at least depending on a wound number of layers and an appertaining coil radius of a paper coil, b) determining one of web strength in a paper web and a quantity correlated with the web strength depending on the influencing and control quantities of the paper winding device as target quantity for the neural network from a relationship between the coil radius and the number of layers of the paper coil measured in said measuring and storing step, and c) training the neural network as a model of the paper winding device via a conventional learning method at least with the influencing and control quantities of the paper winding device as input quantities and one of the web strength and the quantity correlated with the web strength as output quantities.