| 书目名称 | Operational Modal Analysis | | 副标题 | Modeling, Bayesian I | | 编辑 | Siu-Kui Au | | 视频video | | | 概述 | Presents operational modal analysis, employing a coherent and comprehensive Bayesian framework for modal identification.Download the dataset to the book on https://doi.org/10.7910/DVN/7EVTXG.Covers ma | | 图书封面 |  | | 描述 | This book presents operational modal analysis (OMA), employing a coherent and comprehensive Bayesian framework for modal identification and covering stochastic modeling, theoretical formulations, computational algorithms, and practical applications. Mathematical similarities and philosophical differences between Bayesian and classical statistical approaches to system identification are discussed, allowing their mathematical tools to be shared and their results correctly interpreted.. .The authors provide their data freely in the web at https://doi.org/10.7910/DVN/7EVTXG.Many chapters can be used as lecture notes for the general topic they cover beyond the OMA context. After an introductory chapter (1), Chapters 2–7 present the general theory of stochastic modeling and analysis of ambient vibrations. Readers are first introduced to the spectral analysis of deterministic time series (2) and structural dynamics (3),which do not require the use of probability concepts. The concepts and techniques in these chapters are subsequently extended to a probabilistic context in Chapter 4 (on stochastic processes) and in Chapter 5 (on stochastic structural dynamics). In turn, Chapter 6 introduc | | 出版日期 | Book 2017 | | 关键词 | OMA; Bayesian Modal Identification; Stochastic Modelling; Ambient Vibrations; FFT Approximations; Stochas | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-10-4118-1 | | isbn_softcover | 978-981-13-5053-5 | | isbn_ebook | 978-981-10-4118-1 | | copyright | Springer Nature Singapore Pte Ltd. 2017 |
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发表于 2025-3-21 19:44:09
