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Automated Defect Analysis using Optical Sensing and Explainable Artificial Intelligence for Fibre Layup Processes in Composite Manufacturing
S. Meister
*
*
Corresponding author for this work
Structural Integrity & Composites
Research output
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Thesis
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Dissertation (TU Delft)
206
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Dive into the research topics of 'Automated Defect Analysis using Optical Sensing and Explainable Artificial Intelligence for Fibre Layup Processes in Composite Manufacturing'. Together they form a unique fingerprint.
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INIS
manufacturing
100%
defects
100%
fibers
100%
artificial intelligence
100%
inspection
57%
algorithms
42%
production
28%
applications
28%
safety
28%
aircraft
28%
increasing
14%
efficiency
14%
automation
14%
molds
14%
layers
14%
images
14%
carbon fibers
14%
performance
14%
data
14%
mechanical properties
14%
reinforced plastics
14%
deposition
14%
Engineering
Composite
100%
Defects
100%
Fiber
100%
Gas Fuel Manufacture
50%
Critical Application
33%
Aircraft
33%
Accident Prevention
33%
Quality Data
16%
Composite Fiber
16%
Carbon-Fiber-Reinforced Plastic
16%
Mechanical Properties
16%
Visual Inspection
16%
Automation
16%
Production Time
16%
Recorded Image
16%
Material Science
Composite Material
100%
Fiber
100%
Composite Material
28%
Aircraft
28%
Plastic Material
14%
Carbon Fiber Reinforced Plastics
14%