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
Other Authors: Yan, Ruqiang, (Editor), Chen, Xuefeng, (Editor), Mukhopadhyay, Subhas Chandra, (Editor)
Format: eBook
Language: English
Published: Cham, Switzerland : Springer, 2017.
Series: Smart sensors, measurement and instrumentation ; 26.
Subjects:
Structural health monitoring.
elektronické knihy
electronic books
ISBN: 9783319561264
9783319561257
Physical Description: 1 online resource (xi, 375 pages) : illustrations (some color)

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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.
Bibliography: Includes bibliographical references at the end of each chapters.
ISBN: 9783319561264
9783319561257
ISSN: 2194-8402 ;
Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

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