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Advanced Signal Processing for Structural Health Monitoring Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Signal Post-processing for Accurate Evaluation of the Natural Frequencies

Authors : G. R. Gillich, I. C. Mituletu

Published in: Structural Health Monitoring

Publisher: Springer International Publishing

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Abstract

In this paper, a signal processing algorithm to accurately estimate the natural frequencies of structures for early recognition and assessment of cracks is proposed. In standard frequency estimation, the precision increases if the frequency resolution is improved. A finer resolution is achieved by increasing the analysis time interval. Nowadays, there are many other methods to improve the spectrum resolution, as the interpolation of spectral lines, zero-padding, zoom-FFT and so on. The proposed algorithm stepwise crops the acquired vibration signal and performs a spectral analysis. Superposing these spectra, an overlapped spectrum, with a dramatically increased resolution, results. This spectrum offers the possibility to identify very precisely the natural frequencies, even for damages in early stage. The algorithm was tested on generated and real-world signals and was proved to work well, even in the case of fast damped or short signals.

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Metadata
Title
Signal Post-processing for Accurate Evaluation of the Natural Frequencies
Authors
G. R. Gillich
I. C. Mituletu
Copyright Year
2017
Book
Structural Health Monitoring

Print ISBN: 978-3-319-56125-7

Electronic ISBN: 978-3-319-56126-4

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-56126-4_2