Automated Diagnostic System for Power Transformers using a QR Code

Abstract

This paper discusses approaches and methods of monitoring, diagnostics, and assessment for the effective maintenance, repair, and extension of the service life of transformers without the loss of reliability. It considers the newly developed option of the full automation of the power transformer diagnostics system using automated control systems. The system of monitoring, control, and diagnostics of electrical system transformer equipment is combined with an automated electrical equipment control system and an automated information measurement system for the commercial accounting of electric power. The novelty of the developed system consists of the use of QR codes and the Team Viewer program for the operational elimination of accidents and the detection of any abnormal operation of power transformers. The automation of the power transformer diagnostic system will reduce the time needed to perform repair work and restore the necessary protective modes as well as allow the efficient use of material and labor resources.