Structural Health Monitoring Using Emerging Signal Processing Approaches with Artificial Intelligence Algorithms
Author: Chunwei Zhang (Author), Asma A. Mousavi (Author)
Publisher finelybook 出版社: CRC Press
Edition 版本: 1st
Publication Date 出版日期: 2024-11-06
Language 语言: English
Print Length 页数: 232 pages
ISBN-10: 1032806133
ISBN-13: 9781032806136
Book Description
Structural health monitoring is a powerful tool across civil, mechanical, automotive, and aerospace engineering, allowing the assessment and measurement of physical parameters in real time. Processing changes in the vibration signals of a dynamic system can detect, locate, and quantify any damage existing in the system. This book presents a comprehensive state‑of‑the‑art review of the applications in time, frequency, and time‑frequency domains of signal‑processing techniques for damage perception, localization, and quantification in various structural systems.
Experimental investigations are illustrated, including the development of a set of damage indices based on the signal features extracted through various signal‑processing techniques to evaluate sensitivity in damage identification. Chapters summarize the application of the Hilbert–Huang transform based on three decomposition methods such as empirical mode decomposition, ensemble empirical mode decomposition, and complete ensemble empirical mode decomposition with adaptive noise. Also, the chapters assess the performance and sensitivity of different approaches, including multiple signal classification and empirical wavelet transform techniques in damage detection and quantification. Artificial neural networks for automated damage identification are introduced.
This book suits students, engineers, and researchers who are investigating structural health monitoring, signal processing, and damage identification of structures.
About the Author
Chunwei Zhang is a Chair Distinguished Professor at Shenyang University of Technology. He is the Founding Director of the Multidisciplinary Center for Infrastructure Engineering (MCIE) at Shenyang University of Technology, and the Founding Director of the Structural Vibration Control (SVC) Group at Qingdao University of Technology, China. His research achievement and worldwide impact have been highly recognized by the international academia society, as evidenced by the continuous inclusions into the prestigious rankings, such as the Clarivate Highly Cited Researcher, Elsevier Most Cited Chinese Researcher, and Stanford World Top 2% Scientists, among others. Apart from publications, his inventions have been implemented in the engineering practice as evidenced by the active control system for the Canton Tower structure. He is also a commended author of CRC Press published books and proceedings.
Asma A. Mousavi is a PhD graduate in Civil and Structural Engineering from Qingdao University of Technology.
相关文件下载地址
相关推荐
Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines, 2nd Edition- IDS and IPS with Snort 3: Get up and running with Snort 3 and discover effective solutions to your security issues
- Microsoft 365 Administration Cookbook: Enhance your Microsoft 365 productivity to manage and optimize its apps and services, 2nd Edition
- Zabbix 7 IT Infrastructure Monitoring Cookbook: Explore the new features of Zabbix 7 for designing, building, and maintaining your Zabbix setup, 3rd Edition
- Refactoring with C++: Explore modern ways of developing maintainable and efficient applications
- Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps
