人工智能技术在航空发动机孔探检测中的应用进展

Advances in Application of Artificial Intelligence Technology in Aero-engine Borescope Inspection

摘要:

孔探是当前航空发动机检修过程中应用最多的无损检测方法，也是孔探图像的唯一获取途径。近年来，深度学习等人工智能方法开始被应用到航空发动机损伤分类、检测中，为实现航空发动机检修智能化提出了一些现行有效的方法，具有重要的工业应用价值。本文概述了航空发动机孔探检测的发展和优缺点，综述了专家系统和机器学习人工智能方法在发动机孔探图像方面的应用进展，总结了基于孔探图像实现航空发动机孔探检测智能化面临的一些挑战。

Abstract:

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