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 …

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 …

[HTML][HTML] YOLOv3-lite: A lightweight crack detection network for aircraft structure based on depthwise separable convolutions

Y Li, Z Han, H Xu, L Liu, X Li, K Zhang - Applied Sciences, 2019 - mdpi.com
Due to the high proportion of aircraft faults caused by cracks in aircraft structures, crack
inspection in aircraft structures has long played an important role in the aviation industry …

[HTML][HTML] Comparative analysis of human operators and advanced technologies in the visual inspection of aero engine blades

J Aust, D Pons - Applied Sciences, 2022 - mdpi.com
Background—Aircraft inspection is crucial for safe flight operations and is predominantly
performed by human operators, who are unreliable, inconsistent, subjective, and prone to …

Aeroengine blade surface defect detection system based on improved faster RCNN

L Yixuan, W Dongbo, L Jiawei… - International journal of …, 2023 - Wiley Online Library
Aiming at the difficulty of automatic blade detection and the discontinuous defects on the full
image, an aeroengine blade surface defect detection system based on improved faster …

Internal defects detection and classification in hollow cylindrical surfaces using single shot detection and MobileNet

I Shafi, A Mazahir, A Fatima, I Ashraf - Measurement, 2022 - Elsevier
Surface defect inspection, detection, and classification in hollow cylindrical surfaces such as
pipes and barrels have a significant impact on the structural integrity of various industrial …

Automated defect detection and decision-support in gas turbine blade inspection

J Aust, S Shankland, D Pons, R Mukundan, A Mitrovic - Aerospace, 2021 - mdpi.com
Background—In the field of aviation, maintenance and inspections of engines are vitally
important in ensuring the safe functionality of fault-free aircrafts. There is value in exploring …

Damages detection of aeroengine blades via deep learning algorithms

S Li, J Yu, H Wang - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
To solve the problem of detecting the damages of aeroengine blades in harsh environments
and reduce the aviation safety hazards caused by visual reasons, such as careless …

Application of unsupervised adversarial learning in radiographic testing of aeroengine turbine blades

D Wang, H **ao, D Wu - NDT & E International, 2023 - Elsevier
The application of deep learning to X-ray image classification and recognition has attracted
increasing attention in intelligent radiographic testing. In this study, we developed a defect …

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 …