<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper outlines a non-destructive method that is suitable for evaluation of condition demonstrated by gas turbine blades and is based on digital processing of images acquired from the blade surface in visible light. To enable high clearness of these images the particular attention is paid to the problem of how to provide optimum conditions for investigations and mitigate geometrical distortions of images acquired from maintenance operations. The paper demonstrates that there are relationships between operation lifetime of blades and discoloration of their surfaces due to overheating of the blade material. These relationships are revealed by digital analysis of images acquired for the blade surfaces and expressed as statistical parameter of the first and second order. To improve unambiguity of the analysis results a low-pass filter was applied. It was demonstrated that these relationships are suitable for evaluation how much the status of the blade material microstructure is altered</p></abstract>

This paper outlines a non-destructive method that is suitable for evaluation of condition demonstrated by gas turbine blades and is based on digital processing of images acquired from the blade surface in visible light. To enable high clearness of these images the particular attention is paid to the problem of how to provide optimum conditions for investigations and mitigate geometrical distortions of images acquired from maintenance operations. The paper demonstrates that there are relationships between operation lifetime of blades and discoloration of their surfaces due to overheating of the blade material. These relationships are revealed by digital analysis of images acquired for the blade surfaces and expressed as statistical parameter of the first and second order. To improve unambiguity of the analysis results a low-pass filter was applied. It was demonstrated that these relationships are suitable for evaluation how much the status of the blade material microstructure is altered

IMAGE OF THE SURFACE OF GAS TURBINE BLADE AS A DIAGNOSTIC SIGNAL

Bialystok Technical University, Faculty of Mechanical Engineering, ul. Wiejska 45C, 15-351 Bialystok, Poland

student, Bialystok Technical University, Faculty of Mechanical Engineering, ul. Wiejska 45C, 15-351 Bialystok, Poland

Acta Mechanica et Automatica

{"article-title":"IMAGE OF THE SURFACE OF GAS TURBINE BLADE AS A DIAGNOSTIC SIGNAL"}

This paper outlines a non-destructive method that is suitable for evaluation of condition demonstrated by gas turbine blades and is based on digital processing...

IMAGE OF THE SURFACE OF GAS TURBINE BLADE AS A DIAGNOSTIC SIGNAL

Online veröffentlicht: 11. März 2014

Seitenbereich: 209 - 214

DOI: https://doi.org/10.2478/ama-2013-0035

Schlüsselwörter
Gas Turbine, Blade, Discoloration, Computer Assistance

This content is open access.

IMAGE OF THE SURFACE OF GAS TURBINE BLADE AS A DIAGNOSTIC SIGNAL

Online veröffentlicht: 11. März 2014

Seitenbereich: 209 - 214

DOI: https://doi.org/10.2478/ama-2013-0035

SchlüsselwörterGas Turbine, Blade, Discoloration, Computer Assistance

This content is open access.

Schlüsselwörter
Gas Turbine, Blade, Discoloration, Computer Assistance