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WaveAR: A Real-Time Sensor-Based Augmented Reality Implementation for Operating Deflection Shapes Read chapter Read first chapter

2022 | OriginalPaper | Chapter

19. Application of the RASTAR Method to Continuous Scanning LDV Measurements

Authors : D. Di Maio, S. Bruinsma

Published in: Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6

Publisher: Springer International Publishing

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Abstract

This paper presents the application of RASTAR method to diagnostics performed by continuous scanning spectral sidebands. In a previous investigation, RASTAR proved to detect damage condition of a cantilever beam which was continuously scanned along a line by a laser beam. The objective of this paper is to extend the method to two-dimensional scan rather than one. As the method is based on spectral sidebands, the access to spectral lines for deflections in both directions in space should enhance the detection of damage for structures which are lookalike panels. The research is focused on numerical simulations where the LDV was synthesized using continuous scanning approach. The results are encouraging and show that two-dimensional scans can be more useful for RASTAR to detect damage.

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previous chapter Application of a U-Net Convolutional Neural Network to Ultrasonic Wavefield Measurements for Defect Characterization
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Metadata
Title
Application of the RASTAR Method to Continuous Scanning LDV Measurements
Authors
D. Di Maio
S. Bruinsma
Copyright Year
2022
Book
Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6

Print ISBN: 978-3-030-76334-3

Electronic ISBN: 978-3-030-76335-0

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-76335-0_19

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