CORDIS Project
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This project aims to enhance damage detection in aeronautical structures by developing a mathematical algorithm for optimal placement of strain sensors. Using artificial neural networks, the project seeks to identify defects like cracks and delaminations through data analysis from sensors.
The basic problem of damage detection is to deduce the existence of a defect in a structure from measurements taken at sensors distributed on the structure.
Especially in aeronautical structures, cracks, delaminations and debondings are typical types of damages often encountered.
The problem is essentially one of pattern recognition.
Artificial neural networks show considerable promise for damage diagnosis.
In the most basic, supervised learning, approach to deriving a neural network, the networ…
NATIONAL TECHNICAL UNIVERSITY OF ATHENS - NTUA
ETHNICON METSOVION POLYTECHNION
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France, Paris
Type: SME
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: Yes
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