1. REDUCING THE LEVEL OF INTERFERENCE AT THERMAL NON-DESTRUCTIVE TESTING CONSIDERING THE SPECIFIC THERMAL PHYSICAL AND MORPHOLOGICAL CHARACTERISTICS OF THE OBJECT.
- Author
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Storozhenko, V. O., Meshkov, S. M., Orel, R. P., and Miahkyi, O. V.
- Subjects
SIGNAL separation ,IMAGE analysis ,KALMAN filtering ,NONDESTRUCTIVE testing ,SURFACE analysis ,EMISSIVITY ,TEMPERATURE measuring instruments - Abstract
Interferences, characteristic for non-destructive thermal testing which reduce the reliability of the results obtained are described. A technique for their reduction is suggested which consists of two interrelated stages. The first stage consists in calculating and analyzing the nature and level of the expected signal according to the developed thermophysical model against the background of the experimentally obtained noise level. According to the results of analysis of calculations using the thermophysical model for the selected samples, the most influential interference was the inhomogeneity of the emissivity of the sample surface. The second stage of processing the received data is devoted to reducing this noise. This stage consists in processing of thermograms of temperature fields and includes morphological analysis of the surface condition, filtering and reducing characteristic noise and interference. It consists of four practical procedures: analysis of the visual image and obtaining a map of zones with different emissivity of the sample surface, analysis of the thermogram with an assessment of the level of discreteness of the thermogram and the position of fiducial points on the image, smoothing the thermographic image and highlighting zones on the thermogram with different emissivity of the controlled object surface, after which the noise is filtered. Since the results of thermal control are strongly influenced by the shape of the object, the possibilities and effectiveness of the suggested technique are illustrated on a cylindrical object. It has been experimentally confirmed that for the selected sample, it was possible to reduce the noise level to that of confident separation of useful signal against the noise background. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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