Signal Processing Techniques

Srinivasan Gopalakrishnan (), Massimo Ruzzene () and Sathyanarayana Hanagud ()
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Srinivasan Gopalakrishnan: Indian Institute of Science
Massimo Ruzzene: Georgia Institute of Technology
Sathyanarayana Hanagud: Georgia Institute of Technology

Chapter Chapter 3 in Computational Techniques for Structural Health Monitoring, 2011, pp 97-154 from Springer

Abstract: Abstract Structural health monitoring heavily relies on signal processing techniques that are necessary to post-process measured signals. It is these signals that indicate the state of the structure. This chapter addresses some of the important issues regarding signal processing of the measured signals, as it applies to the detection and characterization of damage.

Keywords: Time Window; Fast Fourier Transform; Discrete Fourier Transform; Stress Wave; Nyquist Frequency (search for similar items in EconPapers)
Date: 2011
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-0-85729-284-1_3

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DOI: 10.1007/978-0-85729-284-1_3

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