Structural Health Monitoring Based on Data Science Techniques (1st ed. 2022) (Structural Integrity #21)
By: and and and
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- 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.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783030817169
- Related ISBNs:
- 9783030817152
- Publisher:
- Springer International Publishing
- Date of Addition:
- 11/23/21
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Alexandre Cury
- Edited by:
- Diogo Ribeiro
- Edited by:
- Filippo Ubertini
- Edited by:
- Michael D. Todd
Reviews
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- by Diogo Ribeiro
- by Filippo Ubertini
- by Alexandre Cury
- by Michael D. Todd
- in Nonfiction
- in Computers and Internet
- in Mathematics and Statistics