Title:
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Structural health monitoring by combining machine learning and dimensionality reduction techniques
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Author:
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Quaranta, Giacomo; López Tomás, Elena; Abisset-Chavanne, Emmanuelle; Duval, Jean Louis; Huerta, Antonio; Chinesta Soria, Francisco
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Other authors:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental; Universitat Politècnica de Catalunya. LACÀN - Mètodes Numèrics en Ciències Aplicades i Enginyeria |
Abstract:
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Structural Health Monitoring is of major interest in many areas of structural mechanics. This paper presents a new approach based on the combination of dimensionality reduction and data-mining techniques able to differentiate damaged and undamaged regions in a given structure. Indeed, existence, severity (size) and location of damage can be efficiently estimated from collected data at some locations from which the fields of interest are completed before the analysis based on machine learning and dimensionality reduction techniques proceed. |
Abstract:
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Peer Reviewed |
Subject(s):
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-Àrees temàtiques de la UPC::Matemàtiques i estadística::Àlgebra::Teoria de nombres -Àrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències -Number theory -Artificial intelligence -Non Destructive Testing -Machine Learning -Dimensionality Reduction -Nombres, Teoria dels -Intel·ligència artificial -Classificació AMS::11 Number theory::11Y Computational number theory -Classificació AMS::68 Computer science::68T Artificial intelligence |
Rights:
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Document type:
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Article - Published version Article |
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