ENGLISH

Structural Health Monitoring: An Advanced Signal Processing Perspective

By Ruqiang Yan , Subhas Chandra Mukhopadhyay (eds.) , Xuefeng Chen

Book information

Publisher
Springer International Publishing
Year
2017
ISBN
978-3-319-56125-7, 978-3-319-56126-4
DOI
10.1007/978-3-319-56126-4
Language
english
Format
PDF
Filesize
20 MB (20929657 bytes)
Series
Smart Sensors, Measurement and Instrumentation 26
Edition
1
Pages
XI, 375\380
Time added
2017-06-25 01:09:05
Image and Speech Processing;Biomedical EngineeringSignal

Description

This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.

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