Identification Methods for Structural Health Monitoring (CISM International Centre for Mechanical Sciences, Band 567) - Softcover

Buch 380 von 432: CISM International Centre for Mechanical Sciences
 
9783319811901: Identification Methods for Structural Health Monitoring (CISM International Centre for Mechanical Sciences, Band 567)
Softcover
ISBN 10: 3319811908 ISBN 13: 9783319811901
Verlag: Springer, 2018

Inhaltsangabe

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.

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Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2018
Sprache
Englisch
ISBN 10 
3319811908
ISBN 13 
9783319811901
Einband
Taschenbuch
Anzahl der Seiten
180
Herausgeber
Chatzi Eleni, Papadimitriou Costas
Kontakt zum Hersteller
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Deutschland

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Vorgestellte Ausgabe

ISBN 10:  3319320750 ISBN 13:  9783319320755
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Hardcover