噪声与振动控制2025，Vol.45Issue(2)：105-111,7.DOI:10.3969/j.issn.1006-1355.2025.02.017
基于数模联动的滚动轴承性能退化评估
Degradation Assessment of Rolling Bearing Performance Based on Model-data-fusion
摘要
Abstract
In the process of pitting fault failure of rolling bearings,the estimation of fault defect size is the key for bearing performance degradation assessment.This paper proposed a rolling bearing performance evaluation method based on model-data-fusion,to solve the difficulty to quantitatively estimate the degradation size of local defect.Firstly,based on the Hertz's nonlinear contact theory and time-varying displacement excitation function,a 2-DOF dynamic model of deep groove ball bearing under the influence of elasto-hydrodynamic lubrication was established.Secondly,the amplitude devia-tion between the simulated data and the real data of the dynamic model was corrected.Finally,the Fault Size Evaluation(FSE)algorithm was proposed to estimate the fault size during the full life degradation of rolling bearings,and verified by the experimental data of ABLT-1Z bearing life strengthening test machine.The experimental results show that the proposed model-data-fusion method can quantify the degradation rule of local defect size of bearings and evaluate the performance degradation process of rolling bearings.关键词
故障诊断/动力学建模/数模联动/滚动轴承/Hertz接触/FSE算法Key words
fault diagnosis/dynamic modeling/model-data-fusion/rolling bearings/Hertz contact/FSE algorithm分类
机械制造引用本文复制引用
李栋国,刘韬,李洁松,王振亚,王贵勇..基于数模联动的滚动轴承性能退化评估[J].噪声与振动控制,2025,45(2):105-111,7.基金项目
国家自然科学基金资助项目(52065030) （52065030）
云南省重大科技专项计划资助项目(202202AC080008) （202202AC080008）
