RETROSPECTIVE ANALYSIS OF DIAGNOSTIC METHODS FOR PRINTED CIRCUIT BOARDS: FROM MECHANICAL TO INTELLECTUAL

Kondrashov Daniil Evgenyevich

Printed circuit boards are of particular interest because it this component that ensures the operability of various electronic systems. At the same time, one of the most pressing issues in recent years has been the diagnosis of printed circuit boards. Recently, significant changes been observed related to the improvement of methods and technologies in the performance of these tasks. The main purpose of the presented article is to perform an analysis regarding the dynamics and composition of changes in the diagnostic methods of printed circuit boards. The author sets the task of a comprehensive assessment of this issue, considering the evolution of the development of these methods from mechanical to intellectual. The results of the presented study confirm the expediency of switching to intelligent tools and the impossibility of using constructive diagnostic methods in modern conditions. The author pays special attention to the issue of designing intelligent support systems and decision-making within the framework of the initial task. The materials of the work can be useful for modern developers specializing in improving the quality and effectiveness of diagnostic methods for printed circuit boards.

Keywords:Diagnostics, printed circuit board, electronic system, technical diagnostics, artificial intelligence, machine learning