Titlebook: Operational Modal Analysis; Modeling, Bayesian I Siu-Kui Au Book 2017 Springer Nature Singapore Pte Ltd. 2017 OMA.Bayesian Modal Identifica

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to analyze heuristics..The goal of this paper is to generalize these findings to non-complete graphs, especially Erd?s–Rényi random graphs. A random shortest path metric is constructed by drawing independent random edge weights for each edge in the graph and setting the distance between every pair o

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Spectral Analysis of Deterministic Processocess). Estimators based on a sample time history of the process are introduced and their possible distortions arising from finite sampling rate (aliasing) and duration (leakage) are discussed. The Fast Fourier Transform provides an efficient computational tool for digital implementation. The chapte

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Spectral Analysis of Stationary Stochastic Processodel the statistical properties of ambient vibration data. Assuming pre-requisites in undergraduate probability and statistics, the chapter introduces the characterization of a stochastic process by correlation function in the time domain and power spectral density in the frequency domain. Estimator

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Stochastic Structural Dynamicsss. It is a probabilistic version of Chap. .. Both stationary and transient response statistics are analyzed. For stationary statistics, a modal superposition approach in the frequency domain is adopted. For transient statistics, a state-space approach in the time domain is adopted. Although transie

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Ambient Data Modeling and Analysis value spectra are presented. Their theoretical statistical properties near the resonance band of a structural vibration mode are discussed, allowing one to interpret and detect potential modes in applications. A detailed example with field data is presented to illustrate in a step-by-step manner th