沈阳航空航天大学学报2024，Vol.41Issue(1)：45-53,9.DOI:10.3969/j.issn.2095-1248.2024.01.006
面向滚动轴承故障诊断的VBIVA方法
Variational Bayesian independent vector analysis method for rolling bearing fault diagnosis
摘要
Abstract
In practical engineering occasions,the collected fault signals of rolling bearing are from multiple sources.The multiple fault signals are coupled to form the composite fault signals in the propa-gation path,which makes the fault diagnosis problem more complex.If the composite fault signal is di-rectly analyzed,the extracted fault feature contains multiple source fault frequencies,which may re-sult in a failure to determine the location of the fault.In order to resolve the problem,variational Bayesian independent vector analysis(VBIVA)algorithm was proposed and applied to fault diagnosis.Simulation results show that the proposed algorithm solved the problem of blind source separation and fault diagnosis in the comparison with IVA and VBICA.关键词
滚动轴承/故障诊断/盲源分离/独立向量分析/变分贝叶斯Key words
rolling bearing/fault diagnosis/blind source separation/independent vector analysis/variational Bayes分类
航空航天引用本文复制引用
于洋,尹钰,季策,林峰,于明月..面向滚动轴承故障诊断的VBIVA方法[J].沈阳航空航天大学学报,2024,41(1):45-53,9.基金项目
辽宁省自然科学基金(项目编号:2022-MS-299) （项目编号:2022-MS-299）
航空科学基金(项目编号:201933054002) （项目编号:201933054002）
辽宁省教育厅项目(项目编号:LJKMZ20220529) （项目编号:LJKMZ20220529）
