Nicolas Peter Avdelidis

Professor & Head of IVHM Centre

Cranfield University Cranfield School of Aerospace Transport and Manufacturing

United Kingdom

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About

Nicolas Peter Avdelidis is a Professor and Head of the IVHM Centre at Cranfield University, Cranfield School of Aerospace Transport and Manufacturing, UK. His research areas encompass sustainable aviation, defect detection in aircraft skin using machine learning, and multimodal non-destructive testing. He has contributed to advancements in prognostic methodologies for aircraft systems and improvements in navigation systems for robotics applications.

Articles (19)

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2024

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UNITED KINGDOM

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Gilbert Tang

Cranfield University

UNITED KINGDOM

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Xavier Maldague

Laval University

CANADA

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Nicolas Peter Avdelidis

Research Interests

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About

Articles (19)

Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation in Visual Inspections

A Complementary Fusion-Based Multimodal Non-Destructive Testing and Evaluation Using Phased-Array Ultrasonic and Pulsed Thermography on a Composite Structure

Modeling a Hydraulically Powered Flight Control Actuation System

The ‘hangar of the future’ for sustainable aviation

Novel Prognostic Methodology of Bootstrap Forest and Hyperbolic Tangent Boosted Neural Network for Aircraft System

Improved Hybrid Model for Obstacle Detection and Avoidance in Robot Operating System Framework (Rapidly Exploring Random Tree and Dynamic Windows Approach)

Advancements in Learning-Based Navigation Systems for Robotic Applications in MRO Hangar: Review

A State-of-the-Art Review of Non-Destructive Testing Image Fusion and Critical Insights on the Inspection of Aerospace Composites towards Sustainable Maintenance Repair Operations

Prognostic and Health Management of Critical Aircraft Systems and Components: An Overview

A Fault Detection Approach Based on One-Sided Domain Adaptation and Generative Adversarial Networks for Railway Door Systems

Automated Impact Damage Detection Technique for Composites Based on Thermographic Image Processing and Machine Learning Classification

Multi-label classification algorithms for composite materials under infrared thermography testing

Development of a thermal excitation source used in an active thermographic UAV platform

Defects Recognition Algorithm Development from Visual UAV Inspections

Automated Aircraft Dent Inspection via a Modified Fourier Transform Profilometry Algorithm

Drone-Based Non-Destructive Inspection of Industrial Sites: A Review and Case Studies

Digital Twin Analysis to Promote Safety and Security in Autonomous Vehicles

Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application

Comparison of Cooled and Uncooled IR Sensors by Means of Signal-to-Noise Ratio for NDT Diagnostics of Aerospace Grade Composites

Collaborators (7)

Ip-Shing Fan

Ivan Petrunin

Agathangelos Plastropoulos

Argyrios Zolotas

Yifan Zhao

Gilbert Tang

Xavier Maldague

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