摘要
针对当前的无监督域自适应算法应用于滚动轴承故障诊断领域时,源域数据不平衡,且两个域之间存在域偏移,导致故障识别率低的问题,提出了一种基于多重流形标签传播的滚动轴承故障诊断方法,旨在将源域和目标域的数据多重投影到共同的子空间,减少域内以及跨域的差异,同时平衡样本分布,进而提高变工况轴承故障诊断的精度。首先,提出域内局部保持平衡映射方法,将源域和目标域数据映射到一重流形子空间,得到域内对齐后的样本数据,并对源域数据进行平衡处理,得到平衡后的源域数据;然后,提出跨域流形结构细化对齐方法,将数据进一步映射到二重共享子空间,得到细化对齐后的样本数据;最后,通过动态加权伪标签域适应传播方法,得到准确度高的伪标签。分别在CWRU和自建的轴承数据集上进行故障诊断试验,试验结果表明,所提方法不仅对多故障类型多故障尺寸、复合故障上有着较好的识别能力,且当标签样本稀少时,模型也表现出优秀的诊断效果。
Here,aiming at problems of imbalanced source domain data and domain offset between two domains to cause fault recognition rate low when applying unsupervised domain adaptive algorithm in rolling bearing fault diagnosis field,a rolling bearing fault diagnosis method based on multi-manifold label propagation was proposed to project data of both source and target domains onto a common subspace,reduce intra-domain and inter-domain differences,balance sample distribution,and improve the accuracy of bearing fault diagnosis under variable working conditions.Firstly,a locally balanced mapping method inside a domain was proposed to map source domain and target domain data to subspace of a manifold,and obtain sample data aligned inside domain.The source domain data was then balanced to obtain the balanced source domain data.Then,a cross domain-manifold structure refinement alignment method was proposed to further map data to a dual-shared subspace,and obtain the refined and aligned sample data.Finally,by dynamically weighting the pseudo label domain adaptation propagation method,high-precision pseudo labels were obtained.Fault diagnosis tests were conducted on both CWRU and self-built bearing datasets.Test results showed that the proposed method can not only have better recognition ability for multiple fault types,multiple fault sizes and composite faults,but also exhibit excellent diagnosis effect when label samples are scarce.
作者
李灿
王广斌
赵树标
钟志贤
曾东
LI Can;WANG Guangbin;ZHAO Shubiao;ZHONG Zhixian;ZENG Dong(School of Mechanical and Control Engineering,Guilin University of Technology,Guilin 541006,China;School of Mechanical and Electrical Engineering,Lingnan Normal University,Zhanjiang 524048,China;Guangdong Electric Zhanjiang Wind Power Generation Co.,Ltd.,Zhanjiang 524048,China)
出处
《振动与冲击》
北大核心
2025年第1期121-133,共13页
Journal of Vibration and Shock
基金
广东省基础与应用基础研究基金海上风电联合基金项目(2022A1515240043)
广东省自然科学基金项目(2023A1515012698)
国家重点研发计划项目(2023YFB3406100)。
关键词
多重流形映射
轴承故障诊断
小样本
动态加权伪标签
multi-manifold mapping
bearing fault diagnosis
small sample
dynamic weighted pseudo label
作者简介
第一作者:李灿,男,硕士生,1999年生;通信作者:王广斌,男,教授,博士生导师,1974年生,E-mail:jxxwgb@126.com。
