重庆工商大学学报（自然科学版）2024，Vol.41Issue(3)：113-118,6.DOI:10.16055/j.issn.1672-058X.2024.0003.015
鉴别流形敏感的跨模态轴承故障诊断方法
Discriminant Manifold Sensitivity Cross-Modal Bearing Fault Diagnosis Method
摘要
Abstract
Objective Raw multi-modal fault data collected in practical applications is usually nonlinear data containing a large amount of noise and redundant information.How to extract effective nonlinear fault features from different fault modalities is still a challenging problem.Methods A discriminant manifold sensitivity cross-modal fault diagnosis method was proposed.In the method,the correlation coefficient between different modalities was first constructed in the cross-modal fault space using correlation analysis theory,and the equivalent optimization model of the correlation coefficient was obtained by theoretical derivation.Then,the discriminant manifold sensitivity scatter was constructed by using local neighborhood graphs,and a discriminant manifold sensitivity cross-modal fault diagnosis model was constructed by maximizing the correlation between different modalities and minimizing the discriminant manifold sensitivity scatter.The analytical solutions of the optimization model were derived theoretically,so that nonlinear fault features with well discriminant power can be obtained from fault data of different modalities.Results Targeted experiments were designed on the Germany Paderborn bearing dataset and the multi-modal bearing fault dataset.The experimental results showed that good diagnosis accuracy can be achieved with a small number of training fault samples.Conclusion The proposed method is an effective cross-modal fault diagnosis method.关键词
故障诊断/跨模态故障特征抽取/鉴别流形结构Key words
fault diagnosis/cross-modal fault feature extraction/discriminant manifold structure分类
信息技术与安全科学引用本文复制引用
朱彦敏,苏树智..鉴别流形敏感的跨模态轴承故障诊断方法[J].重庆工商大学学报（自然科学版）,2024,41(3):113-118,6.基金项目
国家自然科学基金面上项目(52374155和61806006) （52374155和61806006）
安徽省自然科学基金(面上项目)(2308085MF218) （面上项目）
安徽省高等学校自然科学研究项目(重大项目)(2022AH040113),安徽省高校中青年教师培养行动项目(YQZD2023035) （重大项目）
淮南市指导性科技计划项目(2023142和2023147) （2023142和2023147）
安徽理工大学青年基金(重点项目)(QNZD202202) （重点项目）
安徽理工大学医学专项培育项目(重大项目)(YZ2023H2A007) （重大项目）
合肥综合性国家科学中心大健康研究院职业医学与健康联合研究中心项目(OMH-2023-05和OMH-2023-24). （OMH-2023-05和OMH-2023-24）
