Artificial cloning applied to industrial process control

Authors:
Antonio F. Muñoz Moner;Aldo Pardo G.;Jorge L. Díaz Rodríguez
Affiliations:
Laboratorio de Cómputo Especializado, UNAB, ICP-ECOPETROL, IIDTA;Departamento de Mecatrónica, Universidad de Pamplona, Ciudadela Universitaria, Pamplona, Colombia;-
Venue:
ICS'05 Proceedings of the 9th WSEAS International Conference on Systems
Year:
2005

Citing 2
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IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

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Abstract

This work presents an artificial cloning technology for sensors used in industrial process control, using neural networks and genetic mapping. Neural networks allow developing the sensors intelligent structure and the random activation weights method is used to achieve the learning, starting from real devices information. The genetic mapping allows the codes generation for the cloning procedure; mutation, crossover and inversion operators are also used. The efficiency of the proposed technology has been illustrated with a cloned sensor example to determine the viscosity index for lubricant oils with phenol in an industrial process.