This work shows a technology of artificial cloning for industrial sensors by means of the use of neural networks and genetic mapping. The neural networks allow develop to the intelligent structure of the sensors. For it, the method of activation of random values is used to train the sensors and to carry out the learning starting from real devices. The genetic mapping allows the generation of codes for the cloning procedure. For it, the mutation processes, crossing, reproduction and investment are used. Also, an example of a cloned sensor that determines the index of viscosity of lubricant oils with fenol for a monitoring system is briefly explained.