Diagnostics of the equipment state
We carry out diagnostics of the state of equipment of electric power systems by various methods of non-destructive testing
About this area
The research area focuses on the development and improvement of methods for diagnosing the technical condition of power system equipment using modern non-destructive testing technologies, instrumental measurements, and intelligent data analysis.
The research activities include the development of methods for assessing the condition of energy equipment without interrupting its operation, based on the analysis of electrical, thermal, mechanical, and other diagnostic parameters. Particular attention is given to detecting hidden defects, assessing the progression of damage, and improving the accuracy and reliability of technical condition evaluation for energy infrastructure facilities.
One of the key research directions is the development of integrated diagnostic systems that combine non-destructive testing methods, digital signal processing, mathematical modeling, and artificial intelligence. Such solutions enable automated defect detection, fault classification, and assessment of the impact of identified anomalies on further equipment operation.
The research includes the development of diagnostic methods for electrical machines, power equipment, electrical network components, and other power system assets, as well as the creation of algorithms for measurement data analysis and intelligent interpretation of diagnostic information.
The obtained results are aimed at improving the efficiency of technical condition monitoring, enabling early fault detection, reducing the risk of emergency failures, and advancing condition-based maintenance systems for power system equipment.