Open AccessThe extraction of informative vibration components of bearings by different adaptive methods
Author(s) -
Serhii Mykhalkiv
Publication year - 2021
Publication title -
progresivna tehnìka, tehnologìâ ta ìnženerna osvìta
Language(s) - English
Resource type - Journals
ISSN - 2409-7160
DOI - 10.20535/2409-7160.2021.xxii.238175
Subject(s) - hilbert–huang transform , vibration , impulse (physics) , computer science , control theory (sociology) , impulse response , modulation (music) , mode (computer interface) , acoustics , mathematics , artificial intelligence , white noise , physics , telecommunications , mathematical analysis , control (management) , quantum mechanics , operating system
It was suggested to select the best adaptive method after proper comparative researches, for the extraction of informative vibration components of bearings. The description and drawbacks of empirical mode decomposition method were presented, and the properties of improved ensemble empirical mode decomposition method and complete ensemble empirical mode decomposition with adaptive noise method were highlighted. A simulated additive signal contained impulse, modulation components and two sinusoids. The extracted intrinsic mode functions were the decomposition results of the first two adaptive methods, which failed to separate impulse and modulation components. Meanwhile, the intrinsic mode functions of the third adaptive method had separately impulse and modulation components, and the method proved to be effective in the separation of the vibration components during the vibrodiagnostics of bearings and gearboxes of the industrial equipment.