Online Damage Detection in Structural Systems Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters / by Saeed Eftekhar Azam.

This monograph assesses in depth the application of recursive Bayesian filters in structural health monitoring. Although the methods and algorithms used here are well established in the field of automatic control, their application in the realm of civil engineering has to date been limited. The mono...

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Bibliographic Details
Main Author:	Eftekhar Azam, Saeed (Author)
Corporate Author:	SpringerLink (Online service)
Format:	eBook
Language:	English
Published:	Cham : Springer International Publishing : Imprint: Springer, 2014.
Edition:	1st ed. 2014.
Series:	PoliMI SpringerBriefs, Springer eBook Collection.
Subjects:	Vibration. Dynamical systems. Dynamics. Signal processing. Image processing. Speech processing systems. Statistics . Building repair. Buildings—Repair and reconstruction. Electronic resources (E-books)
Online Access:	Click to view e-book
Holy Cross Note:	Loaded electronically. Electronic access restricted to members of the Holy Cross Community.

Table of Contents:

Introduction
Recursive Bayesian estimation of partially observed dynamic systems
Model Order Reduction of dynamic systems via Proper Orthogonal Decomposition
POD-Kalman observer for linear time invariant dynamic systems
Dual estimation and reduced order modeling of damaging structures
Summary of the recursive Bayesian inference schemes.

Online Damage Detection in Structural Systems Applications of Proper Orthogonal Decomposition, and Kalman and Particle Filters / by Saeed Eftekhar Azam.

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