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Identification Methods for Structural Health Monitoring: 567 - Rilegato

Libro 363 di 415: CISM International Centre for Mechanical Sciences
 
9783319320755: Identification Methods for Structural Health Monitoring: 567
Rilegato
ISBN 10: 3319320750 ISBN 13: 9783319320755
Casa editrice: Springer Nature, 2016

Sinossi

The papers in this volume provide an introduction to well known and established system identification methods for structural health monitoring and to more advanced, state-of-the-art tools, able to tackle the challenges associated with actual implementation. Starting with an overview on fundamental methods, introductory concepts are provided on the general framework of time and frequency domain, parametric and non-parametric methods, input-output or output only techniques. Cutting edge tools are introduced including, nonlinear system identification methods; Bayesian tools; and advanced modal identification techniques (such as the Kalman and particle filters, the fast Bayesian FFT method). Advanced computational tools for uncertainty quantification are discussed to provide a link between monitoring and structural integrity assessment. In addition, full scale applications and field deployments that illustrate the workings and effectiveness of the introduced monitoring schemes are demonstrated.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

The papers in this volume provide an introduction to well known and established system identification methods for structural health monitoring and to more advanced, state-of-the-art tools, able to tackle the challenges associated with actual implementation. Starting with an overview on fundamental methods, introductory concepts are provided on the general framework of time and frequency domain, parametric and non-parametric methods, input-output or output only techniques. Cutting edge tools are introduced including, nonlinear system identification methods; Bayesian tools; and advanced modal identification techniques (such as the Kalman and particle filters, the fast Bayesian FFT method). Advanced computational tools for uncertainty quantification are discussed to provide a link between monitoring and structural integrity assessment. In addition, full scale applications and field deployments that illustrate the workings and effectiveness of the introduced monitoring schemes are demonstrated.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer Nature
Data di pubblicazione
2016
Lingua
Inglese
ISBN 10 
3319320750
ISBN 13 
9783319320755
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
180
Redattore
Chatzi Eleni, Papadimitriou Costas
Contatto del produttore
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com

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Altre edizioni note dello stesso titolo

9783319811901: Identification Methods for Structural Health Monitoring: 567

Edizione in evidenza

ISBN 10:  3319811908 ISBN 13:  9783319811901
Casa editrice: Springer, 2018
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