Analysis of Aging Energy Supply Leads Caused by Harmonics with Applications of Artificial Intelligence

In this work, applications for the evaluation of power supply systems using artificial intelligence are presented. Wave distortion problems are presented when disturbance in the power quality exists. In some cases, the result is a temporal detention in the industrial processes, equipments and conductors aging, not forgetting to include the loss of wasted energy which also has costs to the user. The purpose of the application of artificial intelligence and computer vision is to use this tools for a better understanding and analysis of images or the features of an image, so as the signal acquisition and processing to determine the variables involved in the conductor’s aging through finite element computer modeling, registration of different images of the same scene or object for comparative studies or mathematical calculations applications of the Fourier transform, product of wave distortions produced by electronic components, to make mathematical modeling, it is necessary to obtain or acquire signals. This will allow us to evaluate energy systems reliably as a new field of research in electric power systems. Due to the complexity of the causes and problems associated with harmonics, there have been proposed a lot of mathematical models to better understand this issue and for which have yet to establish definitive models.