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.
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;
Conference_Titel :
Soft Computing and Measurements (SCM), 2015 XVIII International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4673-6960-2
DOI :
10.1109/SCM.2015.7190463
