Deep learning-based borescope image processing for aero-engine blade in-situ damage detection
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 …
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
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 …
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
Surface damage detection is vital for diagnosis and monitoring of aeroengine blade. At
present, borescope inspection is the dominant technology. Several inspectors hold …
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 …
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 …
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 …
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 …
being integral to its entire lifecycle, spanning the period of design, validation, and …
A deep-learning-based approach for aircraft engine defect detection
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 …
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 …
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
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 …
monitoring. The limited number of probes leads to the inherent under-sampled problem of …