Detection Transformer with Multi-Scale Fusion Attention Mechanism for Aero-Engine Turbine Blade Cast Defect Detection Considering Comprehensive Features

Detection Transformer with Multi-Scale Fusion Attention Mechanism for Aero-Engine Turbine Blade Cast Defect Detection Considering Comprehensive Features

Casting defects in turbine blades can significantly reduce an aero-engine’s service life and cause secondary damage to the blades when exposed to harsh environments. Therefore, casting defect detection plays a crucial role in enhancing aircraft performance. Existing defect detection methods face cha...

Full description

Bibliographic Details
Main Authors: Han-Bing Zhang, Chun-Yan Zhang, De-Jun Cheng, Kai-Li Zhou, Zhi-Ying Sun
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Sensors
Subjects:
aero-engine turbine blade
multi-scale defect detection
attention-based channel-adaptive weighting
multi-scale feature fusion
R-focal loss
Online Access:https://www.mdpi.com/1424-8220/24/5/1663

Internet

https://www.mdpi.com/1424-8220/24/5/1663

Similar Items