Parametric identification in the problem of determining the quality of dusulfusation and deposphoration processes of Fe-C alloy

Authors

DOI:

https://doi.org/10.15587/2312-8372.2017.99130

Keywords:

parametric methods of pattern recognition, classifying rule, desulfurization, dephosphorization

Abstract

It is established that an algorithm for parametric methods of pattern recognition can be used to build a classifying rule that allows to identify a section of the duplex-melting process «cupola – electric arc furnace», which has a lower index of parametric reliability. It is shown that in this case it is sufficient to build a linear discriminant function.

The resulting classifying rule provides a high recognition rate (91.4 % and 97.1 %) of object belonging to class A (melting in cupola) and class B (melting in electric arc furnace), respectively. This allows it to be recommended for decision support systems for desulphurization and dephosphorization control in the duplex-melting process «cupola – electric arc furnace». The application of this rule opens the possibility of improving the quality of desulphurization and dephosphorization control due to the correct choice of control actions.

Additional opportunities for using the above results in industrial conditions are associated with the use of the classifying rule in decision support information systems. It can be implemented by integration of the appropriate mathematical description into the melting information control system (ICS).

Author Biography

Mourad Aouati, Central City Police Department of Constantine, Ali Mendjeli UV 01 Ilot 03 Bt H n°123, Constantine, Algeria

Chief Commissioner of Police

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Published

2017-03-30

How to Cite

Aouati, M. (2017). Parametric identification in the problem of determining the quality of dusulfusation and deposphoration processes of Fe-C alloy. Technology Audit and Production Reserves, 2(1(34), 9–15. https://doi.org/10.15587/2312-8372.2017.99130

Issue

Vol. 2 No. 1(34) (2017): Industrial and Technology Systems

Section

Metallurgical Technology: Original Research

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Copyright (c) 2017 Aouati Mourad

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