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    Implementation of Principal Component Analysis (PCA)/Singular Value Decomposition (SVD) and Neural Networks in Constructing a Reduced-Order Model for Virtual Sensing of Mechanical... by M. A. Melgarejo, A. Pérez, D. Ruiz, A. Casas, F. González, V. González de Lena Alonso

    Published 2024-12-01
    “…The ROM is constructed through neural networks trained on Finite Element Method (FEM) outputs from multiple scenarios, resulting in a simplified yet highly accurate model that can be easily implemented digitally. The ANN model achieves a prediction error of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>MAE</mi><mi>test</mi></msub><mo>=</mo><mrow><mo>(</mo><mn>0.04</mn><mo>±</mo><mn>0.06</mn><mo>)</mo></mrow><mo> </mo><mi>MPa</mi></mrow></semantics></math></inline-formula> for the instantaneous mechanical stress predictions, evaluated over the entire range of stress values (0 to 5.32 MPa) across the component structure. …”
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