Structural Health Monitoring Based on Data Science Techniques

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Éditeur :

Springer


Collection :

Structural Integrity

Paru le : 2021-10-23

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Description



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.
Pages
484 pages
Collection
Structural Integrity
Parution
2021-10-23
Marque
Springer
EAN papier
9783030817152
EAN PDF
9783030817169

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
17818 Ko
Prix
158,24 €
EAN EPUB
9783030817169

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
107766 Ko
Prix
158,24 €