The reliability of defect detection can be improved by combining information obtained from different methods. Therefore, the aim of the project is to achieve a reliable evaluation of the location and size of defects by developing a novel combined signal processing method, which would join data obtained by the time-frequency (t-f) distributions and estimations of phase and group velocities using signals of higher-order Ultrasonic Guided Waves (UGWs). The creation of signal processing methods that allow the evaluation of different signal parameters and their use together would provide different and wider information. For instance, a direct relationship between t-f characteristics provides information about the number of frequency components, the instantaneous frequencies/amplitudes, rate of change, and regions of energy concentration. The phase and group velocities provide information about geometric properties, e.g. thickness of the object, density, mechanical properties.
Project funding:
Projects funded by the Research Council of Lithuania (RCL), Projects carried out by researchers’ teams
Project results:
Using the combined method will achieve better detection of defects of different spatial dimensions compared to existing single methods. Such developed method will be able to be applied in various industries, where information about structural changes, damage, corrosion, delamination is needed.
Period of project implementation: 2023-04-12 - 2026-03-31
Project coordinator: Kaunas University of Technology
