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Data mining in structural dynamic analysis: a signal processing perspective

This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precis...

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Detalles Bibliográficos
Autores principales: Zhou, Yun, Wahab, Magd, Maia, Nuno, Liu, Linya, Figueiredo, Elói
Lenguaje:eng
Publicado: Springer 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-981-15-0501-0
http://cds.cern.ch/record/2704050
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author Zhou, Yun
Wahab, Magd
Maia, Nuno
Liu, Linya
Figueiredo, Elói
author_facet Zhou, Yun
Wahab, Magd
Maia, Nuno
Liu, Linya
Figueiredo, Elói
author_sort Zhou, Yun
collection CERN
description This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication, inspection, and further monitoring to obtain a full life-cycle analysis, and by focusing on data processing, data mining technologies offer another aspect in structural dynamic analysis. Discussing techniques in time/frequency domain, such as Hilbert transforms, wavelet theory, and machine learning for structural dynamic analysis to help in structural monitoring and diagnosis, the book is an essential reference resource for beginners, graduates and industrial professionals in various fields.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
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spelling cern-27040502021-04-21T18:14:44Zdoi:10.1007/978-981-15-0501-0http://cds.cern.ch/record/2704050engZhou, YunWahab, MagdMaia, NunoLiu, LinyaFigueiredo, ElóiData mining in structural dynamic analysis: a signal processing perspectiveComputing and ComputersThis book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication, inspection, and further monitoring to obtain a full life-cycle analysis, and by focusing on data processing, data mining technologies offer another aspect in structural dynamic analysis. Discussing techniques in time/frequency domain, such as Hilbert transforms, wavelet theory, and machine learning for structural dynamic analysis to help in structural monitoring and diagnosis, the book is an essential reference resource for beginners, graduates and industrial professionals in various fields.Springeroai:cds.cern.ch:27040502019
spellingShingle Computing and Computers
Zhou, Yun
Wahab, Magd
Maia, Nuno
Liu, Linya
Figueiredo, Elói
Data mining in structural dynamic analysis: a signal processing perspective
title Data mining in structural dynamic analysis: a signal processing perspective
title_full Data mining in structural dynamic analysis: a signal processing perspective
title_fullStr Data mining in structural dynamic analysis: a signal processing perspective
title_full_unstemmed Data mining in structural dynamic analysis: a signal processing perspective
title_short Data mining in structural dynamic analysis: a signal processing perspective
title_sort data mining in structural dynamic analysis: a signal processing perspective
topic Computing and Computers
url https://dx.doi.org/10.1007/978-981-15-0501-0
http://cds.cern.ch/record/2704050
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AT maianuno datamininginstructuraldynamicanalysisasignalprocessingperspective
AT liulinya datamininginstructuraldynamicanalysisasignalprocessingperspective
AT figueiredoeloi datamininginstructuraldynamicanalysisasignalprocessingperspective