Zhou Y.L., Wahab M.A., Maia N.M.M., Liu L., Figueiredo E.J.F. (Eds.) Data Mining in Structural Dynamic Analysis: A Signal Processing Perspective

Springer, 2019. — 175 p. — ISBN: 9811505004.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.Damage Detection for Structural Health Monitoring of Bridges as a Knowledge Discovery in Databases Process
Structural Health Monitoring of Periodic Infrastructure: A Review and Discussion
Railway Wheel Out-of-Roundness and Its Effects on Vehicle–Track Dynamics: A Review
Dynamic Response Analysis of Wind Turbines Under Long-Period Ground Motions
Intelligent Image Analysis Technology and Application for Rail Track Inspection
Investigation on the Effect of High-Frequency Torsional Impacts on the Torsional Vibration of an Oilwell Drill String in Slip Phase
Carriage–Rail–Viaduct Coupling Analysis Using Dynamic Flexibility Method
Dynamic Response Reconstruction to Supplement the Data Insufficiency
A Proposed Method for the Use of the IBIS-FS in Experimental Modal Analysis of Buildings