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Data mining in structural dynamic an...
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SpringerLink (Online service)
Data mining in structural dynamic analysisa signal processing perspective /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Data mining in structural dynamic analysisedited by Yun Lai Zhou ... [et al.].
Reminder of title:
a signal processing perspective /
other author:
Zhou, Yun Lai.
Published:
Singapore :Springer Singapore :2019.
Description:
x, 169 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Structural health monitoringData processing.
Online resource:
https://doi.org/10.1007/978-981-15-0501-0
ISBN:
9789811505010$q(electronic bk.)
Data mining in structural dynamic analysisa signal processing perspective /
Data mining in structural dynamic analysis
a signal processing perspective /[electronic resource] :edited by Yun Lai Zhou ... [et al.]. - Singapore :Springer Singapore :2019. - x, 169 p. :ill., digital ;24 cm.
Chapter 1 - Damage detection for structural health monitoring of bridges as a knowledge discovery in databases process -- Chapter 2 - Structural Health Monitoring of Periodic Infrastructure: A Review and Discussion -- Chapter 3 - Railway Wheel Out-Of-Roundness and Its Effects on Vehicle-Track Dynamics: A Review -- Chapter 4 - Dynamic Response Analysis of Wind Turbines under Long-period Ground Motions -- Chapter 5 - Intelligent Image Analysis Technology and Application for Rail Track Inspection -- Chapter 6 - Investigation on the effect of high-frequency torsional impacts on the torsional vibration of an oilwell drill string in slip phase -- Chapter 7 - Carriage-rail-viaduct coupling analysis using dynamic compliance method -- Chapter 8 - Dynamic response reconstruction to supplement the data insufficiency -- Chapter 9 - A proposed method for the use of the IBISFS in experimental modal analysis of Buildings.
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.
ISBN: 9789811505010$q(electronic bk.)
Standard No.: 10.1007/978-981-15-0501-0doiSubjects--Topical Terms:
855818
Structural health monitoring
--Data processing.
LC Class. No.: TA656.6 / .D37 2019
Dewey Class. No.: 624.171
Data mining in structural dynamic analysisa signal processing perspective /
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Chapter 1 - Damage detection for structural health monitoring of bridges as a knowledge discovery in databases process -- Chapter 2 - Structural Health Monitoring of Periodic Infrastructure: A Review and Discussion -- Chapter 3 - Railway Wheel Out-Of-Roundness and Its Effects on Vehicle-Track Dynamics: A Review -- Chapter 4 - Dynamic Response Analysis of Wind Turbines under Long-period Ground Motions -- Chapter 5 - Intelligent Image Analysis Technology and Application for Rail Track Inspection -- Chapter 6 - Investigation on the effect of high-frequency torsional impacts on the torsional vibration of an oilwell drill string in slip phase -- Chapter 7 - Carriage-rail-viaduct coupling analysis using dynamic compliance method -- Chapter 8 - Dynamic response reconstruction to supplement the data insufficiency -- Chapter 9 - A proposed method for the use of the IBISFS in experimental modal analysis of Buildings.
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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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based on 0 review(s)
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000000177765
電子館藏
1圖書
電子書
EB TA656.6 .D232 2019 2019
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0
1 records • Pages 1 •
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https://doi.org/10.1007/978-981-15-0501-0
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