A bearing dynamic model based on novel Gaussian-filter waviness characterizing method for vibration response analysis

Minmin Xu, Dexing Miao, Yu Gao, Rong Yang, Fengshou Gu, Yimin Shao

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Bearing waviness is a kind of geometric unevenness on the surface of bearing components, which has vital influence on lifetime, vibration and noise. In order to accurately evaluate the impact of waviness on bearing operating performance and diagnostic features, it is necessary to reveal the mapping relationship between waviness excitation and vibration characteristics. However, current simulated waviness when modeling bearing vibrations is usually simplified by a uniform or non-uniform sinusoidal function, which cannot characterize the real topography of bearing waviness and lead to inaccuracy of diagnostics and prognostics. To address this issue, a novel waviness characterizing method based on Gaussian filter is developed in this study. Based on the proposed waviness characterizing method, a bearing waviness dynamic model is developed and vibration responses under various amplitude and order of waviness are investigated by simulation and experiment. Results show that the established waviness characterizing method can generate waviness curves closer to the actual shape. The bearing waviness dynamic model and the based vibration responses reveals unusual random phenomenon due to different waviness effects. These findings provide theoretical support for accurate identification of waviness on vibration characteristics, which has great significance on condition monitoring and fault diagnosis of bearing.
Original languageEnglish
Article number109433
Number of pages19
JournalTribology International
Volume194
Early online date11 Mar 2024
DOIs
Publication statusPublished - 1 Jun 2024

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