Xiao Chen

Technical University of Denmark

Denmark

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Articles (18)

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2024

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2024

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (11)

Henrik Madsen

Technical University of Denmark

DENMARK

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Philipp Ulrich Haselbach

Technical University of Denmark

DENMARK

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Hans-Henrik Benzon

Technical University of Denmark

DENMARK

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Malcolm McGugan

Technical University of Denmark

DENMARK

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Oscar Gerardo Castro Ardila

Technical University of Denmark

DENMARK

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Seyed Sina Samareh-Mousavi

Technical University of Denmark

DENMARK

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Martin Alexander Eder

Technical University of Denmark

DENMARK

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Peter Berring

Technical University of Denmark

DENMARK

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Steffen Rasmussen

Technical University of Denmark

DENMARK

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Xing-Yuan Miao

Technical University of Denmark

DENMARK

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Kim Branner

Technical University of Denmark

DENMARK

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Xiao Chen

Research Interests

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Articles (18)

Artificial intelligence-based blade identification in operational wind turbines through similarity analysis aided drone inspection

Compression–compression fatigue damage of wrinkled carbon/glass hybrid composite laminates

Analysis of damage localization based on acoustic emission data from test of wind turbine blades

Monitoring fatigue delamination growth in a wind turbine blade using passive thermography and acoustic emission

Mapping damages from inspection images to 3D digital twins of large-scale structures

Finite element mesh transition for local–global modeling of composite structures

AI-based optical-thermal video data fusion for near real-time blade segmentation in normal wind turbine operation

Fatigue and post-fatigue static crack characterisation of a wrinkled thick glass fibre laminate in a composite wind turbine blade

Automated image-based geometric modelling of thick laminates with three-dimensional ply wrinkles

Structural transverse cracking mechanisms of trailing edge regions in composite wind turbine blades

AQUADA PLUS: Automated damage inspection of cyclic-loaded large-scale composite structures using thermal imagery and computer vision

Deep learning-based fatigue damage segmentation of wind turbine blades under complex dynamic thermal backgrounds

AQUADA GUI: A graphical user interface for automated quantification of damages in composite structures under fatigue loading using computer vision and thermography

Static and fatigue cracking of thick carbon/glass hybrid composite laminates with complex wrinkle defects

Place smart, load hard - structural reinforcement of the trailing edge regions of a wind turbine blade strengthening the buckling resistance

Multi-site crack initiation in local details of composite adhesive joints

A robust and automated method for geometric modelling of thick laminates with multiple and asymmetric ply wrinkles

An Operational Image-Based Digital Twin for Large-Scale Structures

Collaborators (11)

Henrik Madsen

Philipp Ulrich Haselbach

Hans-Henrik Benzon

Malcolm McGugan

Oscar Gerardo Castro Ardila

Seyed Sina Samareh-Mousavi

Martin Alexander Eder

Peter Berring

Steffen Rasmussen

Xing-Yuan Miao

Kim Branner

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