Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes

MR Islam, MZH Zamil, ME Rayed, MM Kabir… - IEEE …, 2024 - ieeexplore.ieee.org
Ensuring product quality and integrity is paramount in the rapidly evolving landscape of
industrial manufacturing. Although effective to a certain degree, traditional quality control …

Anomaly detection for Aviation Cyber-Physical System: Opportunities and Challenges

QU Ain, AAA Jilani, NA Butt, S Ur Rehman… - IEEE …, 2024 - ieeexplore.ieee.org
Anomaly detection in Aviation CPS is critical to ensuring safety and reliability. This
systematic literature review explores the landscape of machine learning techniques used for …

Two-stream network one-class classification model for defect inspections

S Lee, C Luo, S Lee, H Jung - Sensors, 2023 - mdpi.com
Defect inspection is important to ensure consistent quality and efficiency in industrial
manufacturing. Recently, machine vision systems integrating artificial intelligence (AI)-based …

LESM-YOLO: An Improved Aircraft Ducts Defect Detection Model

R Wen, Y Yao, Z Li, Q Liu, Y Wang… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Aircraft ducts play an indispensable role in various systems of an aircraft. The regular
inspection and maintenance of aircraft ducts are of great significance for preventing potential …

[HTML][HTML] Conduction thermography for non-destructive assessment of fatigue cracks in metallic materials

E D'Accardi, R De Finis, G Dell'Avvocato… - Infrared Physics & …, 2024 - Elsevier
Metallic materials are widely used in many applications of mechanical and aerospace
engineering. Due to severe and environmental conditions, components and structures can …

Digital Twins for Condition and Fleet Monitoring of Aircraft: Towards More-Intelligent Electrified Aviation Systems

A Sadeghi, P Bellavista, W Song… - IEEE Access, 2024 - ieeexplore.ieee.org
The convergence of Information Technology (IT), Operational Technology (OT), and
Educational Technology (ET) has led to the emergence of the fourth industrial revolution. As …

DCGAN-Based Image Data Augmentation in Rawhide Stick Products' Defect Detection

S Ding, Z Guo, X Chen, X Li, F Ma - Electronics, 2024 - mdpi.com
The online detection of surface defects in irregularly shaped products such as rawhide
sticks, a kind of pet food, is still a challenge for the food industry. Developing deep learning …

[HTML][HTML] MobGSim-YOLO: Mobile Device Terminal-Based Crack Hole Detection Model for Aero-Engine Blades

X Hou, H Zeng, L Jia, J Peng, W Wang - Aerospace, 2024 - mdpi.com
Hole detection is an important means of crack detection for aero-engine blades, and the
current technology still mainly relies on manual operation, which may cause safety hazards …

Intelligent Texture Feature-Based Defects Classification of Aircraft Engine Blades

S Joshi, A Kumar, M Lodha, V Deshmukh… - … Conference on Intelligent …, 2024 - Springer
This paper proposes an intelligent, automated defect detection system for aircraft engine
blades using fuzzy texture features. Common manufacturing defects like cracks, scratches …

[PDF][PDF] DIGITAL TRANSFORMATION IN AVIATION: AN END-TO-END DIGITAL TWIN APPROACH FOR AIRCRAFT ENGINE MAINTENANCE–EXPLORATION OF …

S Reitenbach, PB Ebel, C Grunwitz, M Siggel… - GPPS Chania24, 2024 - gpps.global
The development and application of digital twins in aircraft engine maintenance represents
a paradigm shift towards more efficient, accurate and predictive maintenance strategies …