  In this paper we investigate the parameter estimation of the fiber lay-down
process in the production of nonwovens. The parameter estimation is based on
the mass per unit area data, which is available at least on an industrial
scale. We introduce a stochastic model to represent the fiber lay-down and
through the model's parameters we characterize this fiber lay-down. Based on
the occupation time, which is the equivalent quantity for the mass per unit
area in the context of stochastic dynamical systems, an optimization procedure
is formulated that estimates the parameters of the model. The optimization
procedure is tested using occupation time data given by Monte-Carlo
simulations. The feasibility of the optimization procedure on an industrial
level is tested using the fiber paths simulated by the industrial software
FYDIST.
