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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...
Autores principales: | , , , , |
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Lenguaje: | eng |
Publicado: |
Springer
2019
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-981-15-0501-0 http://cds.cern.ch/record/2704050 |
_version_ | 1780964660018675712 |
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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. |
id | cern-2704050 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
publisher | Springer |
record_format | invenio |
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 |
work_keys_str_mv | AT zhouyun datamininginstructuraldynamicanalysisasignalprocessingperspective AT wahabmagd datamininginstructuraldynamicanalysisasignalprocessingperspective AT maianuno datamininginstructuraldynamicanalysisasignalprocessingperspective AT liulinya datamininginstructuraldynamicanalysisasignalprocessingperspective AT figueiredoeloi datamininginstructuraldynamicanalysisasignalprocessingperspective |