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

行業(yè)

Landlocked

Classical Statistical Inferencen’ approach and is currently the conventional perspective in operational modal analysis. Basic quantification of statistical estimators are presented and illustrated with examples. The Cramér-Rao bound and Fisher information matrix are presented to provide the theoretical lower bound for the varianc

個(gè)人長(zhǎng)篇演說(shuō)

Arctic

analogous

Multi-mode Problemoperational modal analysis with data in a single setup and for the general case of multiple (possibly close) modes. The partial mode shapes, i.e., confined to the measured degrees of freedom, are not necessarily orthogonal and this presents difficulty in their efficient identification. Representing

EXUDE

Multi-setup Problemom. Motivated from practical applications, the focus is on obtaining a ‘global mode shape’ covering a potentially large number of degrees of freedom by incorporating the information from different setups that are measured with a small number of sensors. Least squares methods based only on the ‘local

Commonwealth

乏味

Barrister

Siu-Kui Au human-centric applications that have the primary objective of improving the Quality-of-Life (QoL) of its users. One important type of context information for these applications is the current activity of the user, which can be derived from environmental and wearable sensors. Due to the processing c

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