基于联合最大均方差异的轴承跨工况故障诊断

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引用格式：，，.基于联合最大均方差异的轴承跨工况故障诊断[J].现代电子技术，2025，48（10）：179-186.

关键词：滚动轴承；跨工况任务；故障诊断；联合最大均方差异；距离度量函数；特征提取中图分类号：TN911.7-34；TP277 文献标识码：A 文章编号：1004-373X（2025）10-0179-08

Abstract：Inalusion to the problem thatroling bearing vibration signalsapproximatelyobeythe normal distributionand thefeaturedistributionisinconsistentunderdiferentworkingconditions，adistancemetricfunctionthatcancomprehensively reflectthe meanand variance informationof thedata samples inthereproduced kernel Hilbert spaceandsimultaneouslyfit the marginaldistributionofthedepthfeatureandtheconditionaldistributionisproposed，i.e.，thejointmaximalmeansquare diference（JMMSD）.byusing theoriginal vibrationsignalasinput，thesourceandtargetdomainsarefeature extractedbyfeature extractiolayerwiththesame structure;Thejointmaximum meansquare diffrenceisintroduced tocombine thefeatureand outputlabelinginformationbetweendiferentdomains，soastoachievethesimultaneousalignmentofthemarginaland conditionaldistributionsinanunsupervisedfieldcross-conditionscenario.Thediagnosticperformanceofthelgorithmisverifid tooutperformthigatonlagpoachhichussolyonlobaldoindaptation，inireto-coiofult diagnosis tasks using the Case Western Reserve University bearing fault dataset.

Keywords：rolling bearing;cross-condition task；faultdiagnosis；joint maximummeansquaredifference；distance measurement function;feature extraction

0 引言

旋转机械广泛应用于能源供应、航天航空、轨道运输等领域，滚动轴承作为旋转机械的核心部件，长期工作在恶劣环境下，且运行工况多变，及时评估滚动轴承的工作状态，能够确保设备的运行安全，极大地减少人力和物力的损耗。（剩余8306字）