Damage Location Determination with Data Augmentation of Guided Ultrasonic Wave Features and Explainable Neural Network Approach for Integrated Sensor Systems

Damage Location Determination with Data Augmentation of Guided Ultrasonic Wave Features and Explainable Neural Network Approach for Integrated Sensor Systems

Machine learning techniques such as deep learning have already been successfully applied in Structural Health Monitoring (SHM) for damage localization using Ultrasonic Guided Waves (UGW) at various temperatures. However, a common issue arises due to the time-consuming nature of collecting guided wav...

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Bibliographic Details
Main Authors: Christoph Polle, Stefan Bosse, Axel S. Herrmann
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Computers
Subjects:
neural networks
explainable AI
feature extraction
data augmentation
Ultrasonic Guided Waves
Structural Health Monitoring
Online Access:https://www.mdpi.com/2073-431X/13/2/32

Internet

https://www.mdpi.com/2073-431X/13/2/32

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