Structural Health Monitoring Using Emerging Signal Processing Approaches with Artificial Intelligence Algorithms
暫譯: 結構健康監測：利用新興信號處理方法與人工智慧演算法
Zhang, Chunwei, Mousavi, Asma A.
- 出版商: CRC
- 出版日期: 2026-07-20
- 售價: $3,340
- 貴賓價: 9.5 折 $3,173
- 語言: 英文
- 頁數: 232
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032812826
- ISBN-13: 9781032812823
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相關分類:
數位訊號處理 Dsp
尚未上市，無法訂購
相關主題
商品描述
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.
商品描述(中文翻譯)
結構健康監測是土木、機械、汽車和航空航天工程中的一項強大工具，能夠實時評估和測量物理參數。處理動態系統的振動信號變化可以檢測、定位並量化系統中存在的任何損傷。本書提供了對於信號處理技術在各種結構系統中進行損傷感知、定位和量化的時間、頻率及時間-頻率領域應用的全面前沿回顧。
實驗研究的例子包括基於通過各種信號處理技術提取的信號特徵開發的一組損傷指數，以評估損傷識別的敏感性。各章節總結了基於三種分解方法的希爾伯特-黃變換的應用，包括經驗模態分解、集成經驗模態分解和帶自適應噪聲的完整集成經驗模態分解。此外，各章節評估了不同方法的性能和敏感性，包括多重信號分類和經驗小波變換技術在損傷檢測和量化中的應用。還介紹了用於自動損傷識別的人工神經網絡。
本書適合研究結構健康監測、信號處理和結構損傷識別的學生、工程師和研究人員。
作者簡介
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 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 researcher at South China University of Technology.
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作者簡介(中文翻譯)
張春偉是瀋陽工業大學的特聘講座教授。他是瀋陽工業大學多學科基礎設施工程中心（MCIE）和青島科技大學結構振動控制（SVC）小組的創始主任。他的研究成就和全球影響力受到國際學術界的高度認可，這從他持續入選的多個權威排名中可見一斑，例如科睿唯安高被引學者、愛思唯爾最被引用中國研究者以及史丹佛世界前2%科學家等。除了發表的論文外，他的發明也在工程實踐中得到了應用，例如廣州塔結構的主動控制系統。他也是CRC Press出版書籍和會議論文的受讚譽作者。
阿斯瑪·A·穆薩維是華南理工大學的研究員。
