MODELING OF FLOW MEASU0REMENTS WITH NEURAL NETWORKS

摘要

The accuracy of the flow measurement in a pipe depends much on the installation of the flowmeter. In this paper a neural network based approach to the modeling of the ultrasonic flow measurement has been used. Neural networks have been used in two ways: to interpolate the velocity profiles in the points needed for the modeling, and to compute the weights for different paths of multipath ultrasonic flowmeters. In the latter case the neural network is first trained with some profiles, and the weights determined by the network have then been used in the computation of the errors in other piping configurations. The results have been compared with the errors computed with fixed weights.