DOAJ Open Access 2023

Application advances of artificial intelligence technology in aero-engine borescope inspection

LI Xubo WANG Wenqing WANG Kai HUANG Xiaochao CHEN Siyuan

Abstrak

Currently, the borescope is the most used method with non-destructive testing in the process of aero-engine inspections and is the only way to obtain borescope images. In recent years, the artificial intelligence technologies such as deep learning are applied to aero-engine damage classification and detection, and some effective methods are proposed to achieve intelligent inspection of aero-engines, which have significant value for industrial applications. The benefits and disadvantages of aero-engine borescope inspection and its development are reviewed. The progress in the application of artificial intelligence technologies such as expert system and machine learning to engine borescope detection images is over-viewed. Some of the challenges in achieving intelligent aero-engine borescope inspection are summarized.

Topik & Kata Kunci

Motor vehicles. Aeronautics. Astronautics

Penulis (5)

LI Xubo

WANG Wenqing

WANG Kai

HUANG Xiaochao

CHEN Siyuan

Format Sitasi

APA MLA BibTeX

Xubo, L., Wenqing, W., Kai, W., Xiaochao, H., Siyuan, C. (2023). Application advances of artificial intelligence technology in aero-engine borescope inspection. https://doi.org/10.16615/j.cnki.1674-8190.2023.02.02

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.16615/j.cnki.1674-8190.2023.02.02
Akses: Open Access ✓