Structural Health Monitoring An Advanced Signal Processing Perspective /

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 t...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Yan, Ruqiang (Editor), Chen, Xuefeng (Editor), Mukhopadhyay, Subhas Chandra (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Series:Smart Sensors, Measurement and Instrumentation, 26
Subjects:
Signal processing.
Biomedical engineering.
Industrial engineering.
Production engineering.
Measurement.
Measuring instruments.
Signal, Speech and Image Processing.
Biomedical Engineering and Bioengineering.
Industrial and Production Engineering.
Measurement Science and Instrumentation.
Online Access:Full-text access
Description
Summary: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.
Physical Description:XI, 375 p. 284 illus., 175 illus. in color. online resource.
ISBN:9783319561264
ISSN:2194-8410 ;
DOI:10.1007/978-3-319-56126-4

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