Application of the support vector machines method for metal analyse by an eddy current system

The eddy current method of control analyzed and the possibility of its use for the identification of metals and alloys substantiated. It is shown that this can be done by modernizing the eddy current radio engineering system with dynamic scanning of metal samples, which consists in the use of modern microcontrollers with high-precision ADC operation. The structural of the modernized system is presented, some aspects of processing the received response signal are considered, which made it possible to highlight the information coefficients that would represent the metal or alloy as a generalized image. It is proposed to use machine learning methods to compare an unknown sample of a metal or alloy under study with those available in the collected database, which is shown on the example of the support vector machine method, which allows for real-time identification of metals and alloys, to carry out express control, without human intervention in the identification process. The article presents the eddy current testing method. The results of its use for the identification of metals and alloys are shown. The developed eddy current radio engineering system with dynamic scanning of metal samples is presented. Machine learning methods were used. Using the system allows you to identify metals and alloys in real time for express control.image