Data Mining in Structural Dynamic Analysis: A Signal Processing Perspective

3Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

Zhou, Y. L., Wahab, M. A., Maia, N. M. M., Liu, L., & Figueiredo, E. (2019). Data Mining in Structural Dynamic Analysis: A Signal Processing Perspective. Data Mining in Structural Dynamic Analysis: A Signal Processing Perspective (pp. 1–169). Springer Singapore. https://doi.org/10.1007/978-981-15-0501-0

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free