DocumentCode
734429
Title
Diagnostic features identification algorithm according to vibration parameters of a compressor installation
Author
Alekseev, V.V. ; Kalyakin, I.V. ; Konovalova, V.S. ; Korolev, P.G. ; Perkova, A.G.
fYear
2015
fDate
19-21 May 2015
Firstpage
221
Lastpage
224
Abstract
In the report the technical solution to the problem of diagnosis compressor installation of NGV filling stations is reviewed. The correspondence between the frequency ranges that characterize the defects and levels of wavelet filter is established. The algorithm allows you to set the amplitude of the harmonics and diagnose the problem.
Keywords
compressors; vibrations; wavelet transforms; NGV filling station; compressor installation; diagnostic feature identification algorithm; frequency range; harmonics; vibration parameter; wavelet filter; Cutoff frequency; Filtering algorithms; Frequency measurement; Standards; Vibrations; Wavelet transforms; compressor unit; technical diagnostics; vibration diagnostics; wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Measurements (SCM), 2015 XVIII International Conference on
Conference_Location
St. Petersburg
Print_ISBN
978-1-4673-6960-2
Type
conf
DOI
10.1109/SCM.2015.7190463
Filename
7190463
Link To Document