A Stacked Neural Network Model for Damage Localization

A Stacked Neural Network Model for Damage Localization

Traditional vibration-based damage detection methods often involve human intervention in decision-making, therefore being time-consuming and error-prone. In this study, we propose using Artificial Neural Networks (ANNs) to detect patterns in the structural response and create accurate predictions. T...

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Bibliographic Details
Main Authors: Catalin V. Rusu, Gilbert-Rainer Gillich, Cristian Tufisi, Nicoleta Gillich, Thu Hang Bui, Cosmina Ionut
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
damage detection
stacking techniques
ANN
natural frequency
LSTM
Online Access:https://www.mdpi.com/1424-8220/24/21/7019
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