Structural Health Monitoring Based on Data Science Techniques - Couverture rigide

 
9783030817152: Structural Health Monitoring Based on Data Science Techniques
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ISBN 10 : 3030817156 ISBN 13 : 9783030817152
Editeur : Springer Nature Switzerland AG, 2021

Synopsis


The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of "big data" availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world.

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Éditeur
Springer Nature Switzerland AG
Date d'édition
2021
Langue
anglais
ISBN 10 
3030817156
ISBN 13 
9783030817152
Reliure
Relié
Nombre de pages
499
Éditeur
Cury Alexandre, Ribeiro Diogo, Ubertini Filippo, Todd Michael D.
Coordonnées du fabricant
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

Europaplatz 3
Heidelberg
69115
Allemagne

Autres éditions populaires du même titre

9783030817183: Structural Health Monitoring Based on Data Science Techniques

Edition présentée

ISBN 10 :  3030817180 ISBN 13 :  9783030817183
Editeur : Springer, 2022
Couverture souple