Data Mining in Structural Dynamic Analysis : A Signal Processing Perspective

Data Mining in Structural Dynamic Analysis : A Signal Processing Perspective

Details

Author(s)
Yun Lai Zhou, Magd Abdel Wahab, Nuno M. M. Maia, Linya Liu, Elói Figueiredo
Format
Hardback | 169 pages
Dimensions
155 x 235 x 11.18mm | 442g
Publication date
06 Feb 2020
Publisher
Springer Verlag, Singapore
Publication City/Country
Singapore, Singapore
Language
English
Edition Statement
1st ed. 2019
Illustrations note
73 Illustrations, color; 18 Illustrations, black and white; X, 169 p. 91 illus., 73 illus. in color.
ISBN10
9811505004
ISBN13
9789811505003

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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