Implementation of Principal Component Analysis (PCA)/Singular Value Decomposition (SVD) and Neural Networks in Constructing a Reduced-Order Model for Virtual Sensing of Mechanical Stress

Implementation of Principal Component Analysis (PCA)/Singular Value Decomposition (SVD) and Neural Networks in Constructing a Reduced-Order Model for Virtual Sensing of Mechanical Stress

This study presents the design and validation of a numerical method based on an AI-driven ROM framework for implementing stress virtual sensing. By leveraging Reduced-Order Models (ROMs), the research aims to develop a virtual stress transducer capable of the real-time monitoring of mechanical stres...

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Bibliographic Details
Main Authors: M. A. Melgarejo, A. Pérez, D. Ruiz, A. Casas, F. González, V. González de Lena Alonso
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
predictive maintenance
virtual sensor
reduced-order model (ROM)
PCA
neural networks
Online Access:https://www.mdpi.com/1424-8220/24/24/8065
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