Infrared Thermography for Diagnostics of Railway Infrastructure Elements
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.