A Virtual Sensor Approach to Estimate the Stainless Steel Final Chemical Characterisation

Abstract

This paper presents an approach based on machine learning methods to solve a real industrial problem. During the manufacture of stainless steel with certain characteristics, due to the manufacturing process itself, the steel moves away from the ideal conditions and it is necessary to determine how far the final product is from the desired one. For this determination, a procedure for the development of a virtual sensor has been carried out to replace the current semi-manual procedure of the ACERINOX EUROPA, S.A.U. factory in Cadiz. The results obtained are very promising and it is planned to install an application in the factory to work initially in parallel to the human expert until it can be used as a stand-alone application.