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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 …
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 …
[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 …
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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 …
being integral to its entire lifecycle, spanning the period of design, validation, and …