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Data Mining in Structural Dynamic Analysis : A Signal Processing Perspective - 2019 ed.

By: (Edited by) Eloi Figueiredo , (Edited by) Linya Liu , (Edited by) Magd Abdel Wahab , (Edited by) Nuno M. M. Maia , (Edited by) Yun Lai Zhou

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Ksh 16,200.00

Format: Hardback or Cased Book

ISBN-10: 9811505004

ISBN-13: 9789811505003

Edition: 2019 ed.

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Feb 6th, 2020

Print length: 169 Pages

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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.

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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