| Author | : Mohammad Noori |
| File Size | : 49,9 Mb |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Language | : English |
| Release Date | : 04 September 2023 |
| ISBN | : 9783110791426 |
| Pages | : 274 pages |
Data Centric Structural Health Monitoring by Mohammad Noori,Fuh-Gwo Yuan,Ehsan Noroozinejad Farsangi
Download or read online Data Centric Structural Health Monitoring written by Mohammad Noori,Fuh-Gwo Yuan,Ehsan Noroozinejad Farsangi, published by Walter de Gruyter GmbH & Co KG which was released on 2023-09-04. Get Data Centric Structural Health Monitoring Books now! Available in PDF, ePub and Kindle.
Get BookData Centric Structural Health Monitoring by Mohammad Noori,Fuh-Gwo Yuan,Ehsan Noroozinejad Farsangi
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
Get BookThe 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
Get BookData 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
Get BookData 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
Get BookThis book conducts effective research on data-driven Structural Health Monitoring (SHM), and accordingly presents many novel feature extraction methods by time series analysis and signal processing, to extract reliable damage sensitive features from vibration responses. In this regard, some limitations of time series modeling are dealt with. For decision-making, innovative
Get BookThis 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.
Get BookWritten by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in
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