Data Mining in Structural Dynamic Analysis - A Signal Processing Perspective (Hardcover, 1st ed. 2019)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Release date:	February 2020
First published:	2019
Editors:	Yun Lai Zhou • Magd Abdel Wahab • Nuno M.M. Maia • Linya Liu • Eloi Figueiredo
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	169
Edition:	1st ed. 2019
ISBN-13:	978-981-15-0500-3
Categories:	Books > Science & Mathematics > Physics > Classical mechanics > General Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD) Books > Professional & Technical > Civil engineering, surveying & building > Building construction & materials > Conservation of buildings & building materials Books > Computing & IT > Applications of computing > Databases > Data mining Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > General Promotions
LSN:	981-15-0500-4
Barcode:	9789811505003

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