Structural Damage Identification of Composite Rotors Based on Fully Connected Neural Networks and Convolutional Neural Networks

Structural Damage Identification of Composite Rotors Based on Fully Connected Neural Networks and Convolutional Neural Networks

Damage identification of composite structures is a major ongoing challenge for a <i>secure</i> operational life-cycle due to the complex, gradual damage behaviour of composite materials. Especially for composite rotors in aero-engines and wind-turbines, a cost-intensive maintenance servi...

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Bibliographic Details
Main Authors: Veronika Scholz, Peter Winkler, Andreas Hornig, Maik Gude, Angelos Filippatos
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
dense neural networks
convolutional neural networks
composites
fully connected neural networks
composite rotors
structural health monitoring (SHM)
Online Access:https://www.mdpi.com/1424-8220/21/6/2005

Internet

https://www.mdpi.com/1424-8220/21/6/2005

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