- Hem
- Böcker
- Kurslitteratur
- Teknik, Industri & IT
- Computer Vision for Structural Dynamics and Health Monitoring (inbunden, eng)
Computer Vision for Structural Dynamics and Health Monitoring (inbunden, eng)
Provides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring This...
945 kr
Slut i lager
- Fri frakt
Fri frakt över 299:-
Snabb leverans
Alltid låga priser
Produktbeskrivning
Provides comprehensive coverage of theory and hands-on implementation of computer vision-based sensors for structural health monitoring This book is the first to fill the gap between scientific research of computer vision and its practical applications for structural health monitoring (SHM).
It provides a complete, state-of-the-art review of the collective experience that the SHM community has gained in recent years. It also extensively explores the potentials of the vision sensor as a fast and cost-effective tool for solving SHM problems based on both time and frequency domain analytics, broadening the application of emerging computer vision sensor technology in not only scientific research but also engineering practice.
Computer Vision for Structural Dynamics and Health Monitoring presents fundamental knowledge, important issues, and practical techniques critical to successful development of vision-based sensors in detail, including robustness of template matching techniques for tracking targets; coordinate conversion methods for determining calibration factors to convert image pixel displacements to physical displacements; sensing by tracking artificial targets vs.
natural targets; measurements in real time vs. by post-processing; and field measurement error sources and mitigation methods. The book also features a wide range of tests conducted in both controlled laboratory and complex field environments in order to evaluate the sensor accuracy and demonstrate the unique features and merits of computer vision-based structural displacement measurement.
Offers comprehensive understanding of the principles and applications of computer vision for structural dynamics and health monitoringHelps broaden the application of the emerging computer vision sensor technology from scientific research to engineering practice such as field condition assessment of civil engineering structures and infrastructure systemsIncludes a wide range of laboratory and field testing examples, as well as practical techniques for field applicationProvides MATLAB code for most of the issues discussed including that of image processing, structural dynamics, and SHM applications Computer Vision for Structural Dynamics and Health Monitoring is ideal for graduate students, researchers, and practicing engineers who are interested in learning about this emerging sensor technology and advancing their applications in SHM and other engineering problems It will also benefit those in civil and aerospace engineering, energy, and computer science.
It provides a complete, state-of-the-art review of the collective experience that the SHM community has gained in recent years. It also extensively explores the potentials of the vision sensor as a fast and cost-effective tool for solving SHM problems based on both time and frequency domain analytics, broadening the application of emerging computer vision sensor technology in not only scientific research but also engineering practice.
Computer Vision for Structural Dynamics and Health Monitoring presents fundamental knowledge, important issues, and practical techniques critical to successful development of vision-based sensors in detail, including robustness of template matching techniques for tracking targets; coordinate conversion methods for determining calibration factors to convert image pixel displacements to physical displacements; sensing by tracking artificial targets vs.
natural targets; measurements in real time vs. by post-processing; and field measurement error sources and mitigation methods. The book also features a wide range of tests conducted in both controlled laboratory and complex field environments in order to evaluate the sensor accuracy and demonstrate the unique features and merits of computer vision-based structural displacement measurement.
Offers comprehensive understanding of the principles and applications of computer vision for structural dynamics and health monitoringHelps broaden the application of the emerging computer vision sensor technology from scientific research to engineering practice such as field condition assessment of civil engineering structures and infrastructure systemsIncludes a wide range of laboratory and field testing examples, as well as practical techniques for field applicationProvides MATLAB code for most of the issues discussed including that of image processing, structural dynamics, and SHM applications Computer Vision for Structural Dynamics and Health Monitoring is ideal for graduate students, researchers, and practicing engineers who are interested in learning about this emerging sensor technology and advancing their applications in SHM and other engineering problems It will also benefit those in civil and aerospace engineering, energy, and computer science.
Format | Inbunden |
Omfång | 256 sidor |
Språk | Engelska |
Förlag | John Wiley & Sons Inc |
Utgivningsdatum | 2020-11-05 |
ISBN | 9781119566588 |
Specifikation
Böcker
- Inbunden, 256, Engelska, John Wiley & Sons Inc, 2020-11-05, 9781119566588
Leverans
Vi erbjuder flera smidiga leveransalternativ beroende på ditt postnummer, såsom Budbee Box, Early Bird, Instabox och DB Schenker. Vid köp över 299 kr är leveransen kostnadsfri, annars tillkommer en fraktavgift från 29 kr. Välj det alternativ som passar dig bäst för en bekväm leverans.
Betalning
Du kan betala tryggt och enkelt via Avarda med flera alternativ: Swish för snabb betalning, kortbetalning med VISA eller MasterCard, faktura med 30 dagars betalningstid, eller konto för flexibel delbetalning.
Specifikation
Böcker
- Format Inbunden
- Antal sidor 256
- Språk Engelska
- Förlag John Wiley & Sons Inc
- Utgivningsdatum 2020-11-05
- ISBN 9781119566588