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Proceedings Paper

Repeatability and reproducibility of characteristic features measured by laser Doppler vibrometry for on-line diagnostics
Author(s): G. Agostinelli; N. Paone
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Paper Abstract

It is analyzed the statistical dispersion of characteristic features measured by Laser Doppler Vibrometry (LDV) in on-line diagnostic applications, with reference to on-line detection of mechanical defects of washing machines. The paper presents two complementary approaches: a) experimental evaluation of repeatability of measured features according to the Guide to the Expression of Uncertainty in Measurement-GUM; b) Montecarlo simulation of uncertainty propagation across the on-line test station. Experiments consist in a test bench which simulates the vibration of a washing machine, by playing back on a shaker a real signal acquired on-line and taking repeated measurements, so that a statistical analysis is performed about dispersion of diagnostic features. The analysis is repeated by varying the scattering characteristics of the vibrating surface, so to evaluate the effect of signal quality. The Montecarlo approach consists in modeling the propagation of uncertainty across the various elements of the measurement chain, up to the computation of features. The influence of LDV, Data Acquisition device (DAQ) and processing software have been taken into account. Results allow to estimate Repeatability and Reproducibility (R&R) of a typical set of characteristic features used in industrial diagnostics and to discuss uncertainty of similar diagnostic procedures.

Paper Details

Date Published: 17 June 2008
PDF: 12 pages
Proc. SPIE 7098, Eighth International Conference on Vibration Measurements by Laser Techniques: Advances and Applications, 70981C (17 June 2008); doi: 10.1117/12.803182
Show Author Affiliations
G. Agostinelli, Univ. Politecnica delle Marche (Italy)
N. Paone, Univ. Politecnica delle Marche (Italy)

Published in SPIE Proceedings Vol. 7098:
Eighth International Conference on Vibration Measurements by Laser Techniques: Advances and Applications

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