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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Bibliographic Details
Main Author: Au, Siu-Kui (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Singapore : Springer Singapore : Imprint: Springer, 2017.
Subjects:
Online Access:Full Text via HEAL-Link
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.