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Data mining in structural dynamic an...

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Data mining in structural dynamic analysisa signal processing perspective /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data mining in structural dynamic analysisedited by Yun Lai Zhou ... [et al.].
其他題名:	a signal processing perspective /
其他作者:	Zhou, Yun Lai.
出版者:	Singapore :Springer Singapore :2019.
面頁冊數:	x, 169 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Structural health monitoringData processing.
電子資源:	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 analysisa 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

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520 $a 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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