Deep learning-based borescope image processing for aero-engine blade in-situ damage detection

H Shang, C Sun, J Liu, X Chen, R Yan - Aerospace Science and …, 2022 - Elsevier
As an important part of aero-engines, blades are used to compress the air entering the
engine and produce a lot of thrusts. Catastrophic and sudden accidents caused by blade …

Aero-Engine Blade Defect Detection: A Systematic Review of Deep Learning Models

Y Abdulrahman, MAM Eltoum, A Ayyad, B Moyo… - IEEE …, 2023 - ieeexplore.ieee.org
Aero-engine blade defect detection is a crucial task in ensuring the safety and reliability of
aircraft. The visual inspection of aero-engine blades is a complex process that requires …

Global prior transformer network in intelligent borescope inspection for surface damage detection of aeroengine blade

H Shang, J Wu, C Sun, J Liu, X Chen… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Surface damage detection is vital for diagnosis and monitoring of aeroengine blade. At
present, borescope inspection is the dominant technology. Several inspectors hold …

Superpixel perception graph neural network for intelligent defect detection of aero-engine blade

H Shang, Q Yang, C Sun, X Chen, R Yan - Journal of Manufacturing …, 2024 - Elsevier
Aero-engine is the core component of aircraft and other spacecraft. The high-speed rotating
blades provide power by sucking in air and fully combusting, and various defects will …

[HTML][HTML] Assessment of the effect of cleanliness on the visual inspection of aircraft engine blades: An eye tracking study

J Aust, A Mitrovic, D Pons - Sensors, 2021 - mdpi.com
Background—The visual inspection of aircraft parts such as engine blades is crucial to
ensure safe aircraft operation. There is a need to understand the reliability of such …

A continuum robot for remote applications: From industrial to medical surgery with slender continuum robots

DA Troncoso, JA Robles-Linares… - IEEE Robotics & …, 2022 - ieeexplore.ieee.org
The maintenance of critical industrial components is often hindered by limited access,
tortuous passages, and complex geometries. In highly constrained environments, inspection …

Application of artificial intelligence in turbomachinery aerodynamics: progresses and challenges

Z Zou, P Xu, Y Chen, L Yao, C Fu - Artificial Intelligence Review, 2024 - Springer
Turbomachinery plays a vital role in energy conversion systems, with aerodynamic issues
being integral to its entire lifecycle, spanning the period of design, validation, and …

A deep-learning-based approach for aircraft engine defect detection

A Upadhyay, J Li, S King, S Addepalli - Machines, 2023 - mdpi.com
Borescope inspection is a labour-intensive process used to find defects in aircraft engines
that contain areas not visible during a general visual inspection. The outcome of the process …

Automatic defect recognition and localization for aeroengine turbine blades based on deep learning

D Wang, H Xiao, S Huang - Aerospace, 2023 - mdpi.com
Radiographic testing is generally used in the quality management of aeroengine turbine
blades. Traditional radiographic testing is critically dependent on artificially detecting …

Optimization and assessment of blade tip timing probe layout with concrete autoencoder and reconstruction error

ZK Wang, ZB Yang, SM Wu, HQ Li, SH Tian… - Applied Soft …, 2022 - Elsevier
Blade tip timing (BTT) is a promising non-contact measurement method for blade vibration
monitoring. The limited number of probes leads to the inherent under-sampled problem of …