Infrared Thermography for Diagnostics of Railway Infrastructure Elements

2025;
: pp. 151 – 156
Received: October 14, 2025
Revised: November 25, 2025
Accepted: December 02, 2025
1
Lviv Polytechnic National University
2
Lviv Polytechnic National University

The paper presents research results on the application of infrared thermography for diagnostics of machines and devices in railway infrastructure. The theoretical foundations based on Fourier’s heat conduction equation are outlined and the principles of designing an automated diagnostic system using thermal cameras, a data processing server, and machine learning algorithms are described. Examples of thermograms and graphs illustrate the detection of defects in cable connections, rail joints and turnout drives. Experimental studies confirmed that infrared diagnostics ensure high accuracy, speed and reliability in detecting hidden faults that remain unnoticed by traditional inspection methods. An economic analysis demonstrated a reduction in maintenance costs by up to 65% and a 67% decrease in train downtime. The obtained results prove the feasibility and effectiveness of implementing infrared thermographic systems in the maintenance practice of Ukrainian railways to enhance operational safety and optimize maintenance expenses.

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