Power Generation Technology ›› 2021, Vol. 42 ›› Issue (4): 454-463.DOI: 10.12096/j.2096-4528.pgt.21031

• Intelligent Turbine Power Generation Technology • Previous Articles     Next Articles

Computer-Vision Based on Three-dimensional Reconstruction Technology and Its Applications in Gas Turbine Industry

Xiangling KONG1(), Jinglun FU1,2,3,4,5()   

  1. 1 Nanjing Institute of Future Energy System, IET, CAS, Nanjing 210000, Jiangsu Province, China
    2 Advanced Gas Turbine Laboratory, IET, CAS, Haidian District, Beijing 100190, China
    3 University of Chinese Academy of Sciences, Haidian District, Beijing 100049, China
    4 Key Laboratory of Advanced Energy and Power, CAS, Haidian District, Beijing 100190, China
    5 Innovation Academy for Light-duty Gas Turbine, CAS, Haidian District, Beijing 100190, China
  • Received:2021-04-25 Published:2021-08-31 Online:2021-07-22
  • Supported by:
    National Natural Science Foundation of China(51776201)

Abstract:

The operational safety and performance of gas turbine is closely related to the health status of its components. Generally, the status of gas turbine components can be evaluated by the morphological characters, such as size, shape, color, etc. Therefore, the method of feature extraction, especially the three- dimensional (3D) feature extraction, has become a key technology for component health status assessment. The existing computer vision based on 3D reconstruction algorithms was reviewed. After that, the research status and development directions of the 3D reconstruction in the gas turbine industry were discussed. In the end, the reconstruction results of a turbine blade using the shape from shading (SFS) algorithm and the Mvsnet were presented and compared.

Key words: gas turbine, computer vision, three-dimensional reconstruction, gas turbine design, health diagnosis

CLC Number: