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Review of Guided-wave Structural Health Monitoring

Raghavan, A., Cesnik, C. E. S.·2007·The Shock and Vibration Digest

Abstract

In this paper we present the state of the art in the field of guided-wave structural health monitoring (SHM). We begin with an overview of damage prognosis, and a description of the basic methodology of guided-wave SHM. We then review developments from the open literature in various aspects of this truly multidisciplinary field. First, we discuss different transducer technologies, including both piezoelectric and non-conventional popular and non-conventional piezoelectric transducers. Next, we examine guided-wave theory, tracing its early history down to modern developments. Following this, we detail the efforts into models for guided-wave excitation by SHM transducers. Then, we review several signal processing related works. The next topic in Section 6 is guided-wave SHM system development, and we explore various packaging ideas, integrated solutions and efforts to examine robustness to different service conditions. We also highlight the broad spectrum of applications in which this technology has been tested. We then present some investigations that have attempted to combine guided-wave approaches with other complementary SHM technologies for better system performance. Finally, we propose desirable developments for further advancement of this field.

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Metadata

Authors
Raghavan, A., & Cesnik, C. E. S.
Venue
The Shock and Vibration Digest
Published
2007-03-01
Volume
39
Issue
2
Pages
91-114
ISSN
0583-1024 (ISSN-L)
OpenAlex
W1967128993
Cited by
989
References
0
FWCI
58.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Review of Guided-wave Structural Health Monitoring. https://app.cochat.ai/papers/10.1177/0583102406075428
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Raghavan, A., & Cesnik, C. E. S. (2007). Review of Guided-wave Structural Health Monitoring. The Shock and Vibration Digest. https://doi.org/10.1177/0583102406075428

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.