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Computational Techniques for Structural Health Monitoring pp 97–154Cite as

Signal Processing Techniques

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Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

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.

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Author information

Authors and Affiliations

  1. Department of Aerospace Engineering, Indian Institute of Science, Bangalore, 560012, India

    Srinivasan Gopalakrishnan

  2. School of Aerospace Engineering, School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA

    Massimo Ruzzene

  3. School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA

    Prof. Sathyanarayana Hanagud

Authors
  1. Srinivasan Gopalakrishnan
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  2. Massimo Ruzzene
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  3. Prof. Sathyanarayana Hanagud
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Corresponding author

Correspondence to Srinivasan Gopalakrishnan .

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© 2011 Springer-Verlag London Limited

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Gopalakrishnan, S., Ruzzene, M., Hanagud, S. (2011). Signal Processing Techniques. In: Computational Techniques for Structural Health Monitoring. Springer Series in Reliability Engineering. Springer, London. https://doi.org/10.1007/978-0-85729-284-1_3

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  • DOI: https://doi.org/10.1007/978-0-85729-284-1_3

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-283-4

  • Online ISBN: 978-0-85729-284-1

  • eBook Packages: EngineeringEngineering (R0)

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