Monitoring parameter based determination of production tolerances

One of the most important prerequisites of smooth, controlled manufacturing is the application of appropriate monitoring systems. Information about the production processes is dispatched to these systems in a form of measured parameters ahich can be used for accomplishing state analysis and feedback. The usually high number of processed data can be used for modelling production structures, when models capable to learn are applied. The paper describes the application of artificial neural networks built up on the base of monitoring parameters, to determine production tolerances. The behaviours of models, the method for determining tolerances and the representation for dependencies among parameters are also illustrated.