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Erschienen in:
Advanced Signal Processing for Structural Health Monitoring Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Signal Post-processing for Accurate Evaluation of the Natural Frequencies

verfasst von : G. R. Gillich, I. C. Mituletu

Erschienen in: Structural Health Monitoring

Verlag: 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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Vorheriges Kapitel Advanced Signal Processing for Structural Health Monitoring
Nächstes Kapitel Holobalancing Method and Its Improvement by Reselection of Balancing Object
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Metadaten
Titel
Signal Post-processing for Accurate Evaluation of the Natural Frequencies
verfasst von
G. R. Gillich
I. C. Mituletu
Copyright-Jahr
2017
Buch
Structural Health Monitoring

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

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

Copyright-Jahr: 2017

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

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