Data-Centric Structural Health Monitoring - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data-Centric Structural Health Monitoring write by Mohammad Noori. This book was released on 2023-09-04. Data-Centric Structural Health Monitoring available in PDF, EPUB and Kindle. This book introduces the latest developments in data-centric engineering, including different artificial intelligence and machine learning schemes, as well as their wide range of applications for long-term monitoring and health assessment of mechanical, aerospace and complex infrastructure systems. Leading scholars in the field show how these emerging techniques assure the longevity of engineered systems and predict their life cycles.
Structural Health Monitoring Based on Data Science Techniques
Structural Health Monitoring Based on Data Science Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Structural Health Monitoring Based on Data Science Techniques write by Alexandre Cury. This book was released on 2021-10-23. Structural Health Monitoring Based on Data Science Techniques available in PDF, EPUB and Kindle. 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.
Data Driven Methods for Civil Structural Health Monitoring and Resilience
Data Driven Methods for Civil Structural Health Monitoring and Resilience - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Driven Methods for Civil Structural Health Monitoring and Resilience write by Mohammad Noori. This book was released on 2023-10-26. Data Driven Methods for Civil Structural Health Monitoring and Resilience available in PDF, EPUB and Kindle. Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers.
Structural Health Monitoring
Structural Health Monitoring - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Structural Health Monitoring write by Daniel Balageas. This book was released on 2010-01-05. Structural Health Monitoring available in PDF, EPUB and Kindle. This book is organized around the various sensing techniques used to achieve structural health monitoring. Its main focus is on sensors, signal and data reduction methods and inverse techniques, which enable the identification of the physical parameters, affected by the presence of the damage, on which a diagnostic is established. Structural Health Monitoring is not oriented by the type of applications or linked to special classes of problems, but rather presents broader families of techniques: vibration and modal analysis; optical fibre sensing; acousto-ultrasonics, using piezoelectric transducers; and electric and electromagnetic techniques. Each chapter has been written by specialists in the subject area who possess a broad range of practical experience. The book will be accessible to students and those new to the field, but the exhaustive overview of present research and development, as well as the numerous references provided, also make it required reading for experienced researchers and engineers.
Data Driven Methods for Civil Structural Health Monitoring and Resilience
Data Driven Methods for Civil Structural Health Monitoring and Resilience - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Driven Methods for Civil Structural Health Monitoring and Resilience write by Mohammad Noori. This book was released on 2023-10. Data Driven Methods for Civil Structural Health Monitoring and Resilience available in PDF, EPUB and Kindle. Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers.
