Metallurgy and Steel

Metallurgy and Steel

 In metallurgy and steel, low production costs and high quality are important, since the amount of energy used and the downgrade of a faulty product can impact a company's competitiveness considerably. Companies in the industry want to optimise energy consumption and tightly control parameters that affect product quality.


 Thanks to its experience in studying data fusion and Kalman filtering, RMS is a major partner for industry members seeking to continually improve their production processes.

Using SignalLAB's supervised and unsupervised learning tools in the classification module, RMS provides solutions to industry companies seeking to detect and characterise various types of inclusions in their products using indirect measurements.