TY - JOUR
T1 - A bearing dynamic model based on novel Gaussian-filter waviness characterizing method for vibration response analysis
AU - Xu, Minmin
AU - Miao, Dexing
AU - Gao, Yu
AU - Yang, Rong
AU - Gu, Fengshou
AU - Shao, Yimin
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/6/1
Y1 - 2024/6/1
N2 - 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.
AB - 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.
KW - Rolling element bearing
KW - Waviness characterization
KW - Gaussian Filter
KW - Bearing dynamic model
KW - Gaussian filter
UR - http://www.scopus.com/inward/record.url?scp=85187216907&partnerID=8YFLogxK
U2 - 10.1016/j.triboint.2024.109433
DO - 10.1016/j.triboint.2024.109433
M3 - Article
VL - 194
JO - Tribology International
JF - Tribology International
SN - 0301-679X
M1 - 109433
ER -