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Operational Modal Analysis Modeling, Bayesian Inference, Uncertainty Laws /
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 differ...
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Format: | e-Book |
Language: | English |
Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2017.
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Edition: | 1st ed. 2017. |
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Online Access: | Full-text access View in OPAC |
Table of Contents:
- Introduction
- Spectral Analysis of Deterministic Process
- Structural Dynamics
- Spectral Analysis of Stationary Stochastic Process
- Stochastic Structural Dynamics
- Ambient Data Analysis and Simulation
- Bayesian Inference
- Classical Statistical Inference
- Bayesian OMA Framework
- Single Mode Problem
- Multi-Mode Problem
- Multi-Setup Problem
- Managing identification uncertainty
- Theory of Uncertainty Laws.