An Image-Based Turbine Blade Parameter Inspection Method

Abstract

Accurate inspection of the feature parameters of the blade is a pivotal step to conduct the performance diagnosis and reverse modeling. To improve the inspection efficiency, an image-based parameter inspection method was proposed. First, the skeleton extraction algorithm was used to locate the middle arc of the blade. Then, the middle arc function and the blade thickness distribution function were obtained by the 3-order polynomial curve fitting algorithms. Finally, an optimization algorithm was derived to improve the inspection accuracy. Experimental results show that the proposed image-based feature parameter inspection method has high accuracy, and the relative measurement error is less than 1.5%. It provides a new solution for the rapid and accurate measurement of blade geometric parameters.

Keywords

• gas turbine
• blade parameter inspection
• image processing
• skeleton extraction