Studying Statistical Properties of Diagnostic Features in Vibroacoustic Signals of Ship Machinery

The statistical properties of multidimensional diagnostic features, the locations and amplitudes of discrete components in the power spectra of vibration-acceleration envelopes that characterize incipient flaws in mechanisms, have been studied. Experimental data have been processed. Using a nonparam...

Full description

Saved in:
Bibliographic Details
Published in:Russian journal of nondestructive testing 2018-03, Vol.54 (3), p.174-181
Main Authors: Davydov, V. S., Steblyanko, D. V.
Format: Article
Language:English
Subjects:
Acoustic Methods
Characterization and Evaluation of Materials
Chemistry and Materials Science
Diagnostic systems
Materials Science
Nonparametric statistics
Power spectra
Structural Materials
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The statistical properties of multidimensional diagnostic features, the locations and amplitudes of discrete components in the power spectra of vibration-acceleration envelopes that characterize incipient flaws in mechanisms, have been studied. Experimental data have been processed. Using a nonparametric rank correlation test, the mutual and combined independence of the one-dimensional values of multidimensional feature quantities has been proved. The distribution laws for these features have been researched using the Kolmogorov–Smirnov nonparametric test. It has been taken that in the general case, the distribution laws for these features can be of any form.
ISSN:1061-8309
1608-3385
DOI:10.1134/S106183091803004X