Implementation of a virtual sensor on a hot dip galvanizing line for zinc coating thickness estimation

Abstract

Virtual sensors allow the measuring of variables for which no physical sensor is available using indirect measurements of related variables. In this work we describe the implementation of a virtual sensor for the zinc coating thickness in a hot dip galvanizing line from related process variables such as blowing pressure, knives-to-strip distance, knives-topot distance, etc., based on artificial neural networks that model nonlinear dynamical relationships. The virtual sensor is currently working on Avilés Galvanizing 2