<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The article presents a multi-stage algorithm for automatic (without any human, user – diagnostician intervention) detection of vanes-blades (technical objects) and their surfaces on a digital image, combined with color analysis, aimed at determining the technical condition of the tested turbine elements. The images recorded with the use of a camera, containing previously dismantled from the turbine operated stator vanes, were used as the exemplary analysis material. The paper presents the algorithm for the detection of the vanes’ airfoil surfaces with the impact of the applied techniques and methods of image processing and analysis on the final result (software localization of the vane’s trailing and leading edge), Then, the obtained image data, including the structural changes of both the vane’s coating and material (metallographic testing) were correlated with the surface colour scheme (colour segmentation based on the YCbrCr colour space model). Thanks to this approach, areas on the surface of the blade were distinguished, characteristic for proper, overheated and transient condition.</p></abstract>

The article presents a multi-stage algorithm for automatic (without any human, user – diagnostician intervention) detection of vanes-blades (technical objects) and their surfaces on a digital image, combined with color analysis, aimed at determining the technical condition of the tested turbine elements. The images recorded with the use of a camera, containing previously dismantled from the turbine operated stator vanes, were used as the exemplary analysis material. The paper presents the algorithm for the detection of the vanes’ airfoil surfaces with the impact of the applied techniques and methods of image processing and analysis on the final result (software localization of the vane’s trailing and leading edge), Then, the obtained image data, including the structural changes of both the vane’s coating and material (metallographic testing) were correlated with the surface colour scheme (colour segmentation based on the YCbrCr colour space model). Thanks to this approach, areas on the surface of the blade were distinguished, characteristic for proper, overheated and transient condition.

Concept of Computer-Aided Assessment of the Technical Condition of Operated Gas Turbine Vanes

Polish Maritime Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The article presents a multi-stage algorithm for automatic (without any human, user – diagnostician intervention) detection of vanes-blades (technical objects)...

Concept of Computer-Aided Assessment of the Technical Condition of Operated Gas Turbine Vanes

Publié en ligne: 23 oct. 2018

Pages: 104 - 112

DOI: https://doi.org/10.2478/pomr-2018-0101

Mots clés
gas turbine, condition assessment, vanes (blades), coating, surface colour

© 2018 Mariusz Bogdan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Concept of Computer-Aided Assessment of the Technical Condition of Operated Gas Turbine Vanes

Publié en ligne: 23 oct. 2018

Pages: 104 - 112

DOI: https://doi.org/10.2478/pomr-2018-0101

Mots clésgas turbine, condition assessment, vanes (blades), coating, surface colour

© 2018 Mariusz Bogdan et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
gas turbine, condition assessment, vanes (blades), coating, surface colour