RESEARCH ON MODERN METHODS AND TOOLS FOR DIAGNOSING HIGH-VOLTAGE EQUIPMENT

The article "Research on Modern Methods and Tools for Diagnosing High-Voltage Equipment" examines key aspects of diagnosing and monitoring high-voltage systems used in energy and industry. High-voltage equipment, such as transformers, switching devices, and cable lines, is critical for ensuring the reliability of electrical networks. Failures in these systems can lead to significant economic losses, interruptions in electricity supply, and even emergency situations. The article focuses on modern diagnostic methods, including non-invasive technologies such as thermography, acoustic emission, and ultrasound testing. These methods allow for the early detection of defects, reducing the risks of serious issues arising. Special attention is given to technologies for measuring and analyzing electrical parameters, which ensure timely detection of deviations in equipment performance. The authors also analyze innovative monitoring tools, including systems based on the Internet of Things (IoT). These systems can provide round-the-clock monitoring of the condition of high-voltage equipment, allowing for prompt responses to changes in its operation. The prospects of using artificial intelligence and machine learning to improve diagnostic accuracy and predict potential failures are also discussed. The article presents the results of practical studies that confirm the effectiveness of modern diagnostic methods in real operational environments. It highlights the role of diagnostics in maintenance planning and asset management, which helps reduce costs and enhance the reliability of energy systems. Thus, the article emphasizes the importance of implementing modern diagnostic technologies in the field of high-voltage equipment, outlining the main advantages, challenges, and prospects for their application. This makes it a valuable resource for professionals, engineers, and researchers working in this field.