基于CGAN的轮毂轴承数字孪生体构建与寿命预测研究

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中图分类号：U461 收稿日期：2025-07-18 DOI: 10.19999/j.cnki.1004-0226.2025.09.022

Research on Digital Twin Construction and Life Prediction of Hub Bearing Based on CGAN

Liu Guo Zhang Dan Hunan Automobile Engineering Vocational University,Zhuzhou 412oo1,China

Abstract:Hubbearingisakeycomponentofnewenergyvehicleswithhighreliability.Basedontheworking mechanismand experimentaldata，thepredictionoftheremaininglifeofthbearinghas theproblemoflowaccuracyandpootimelines.Aimingatthe problem,digitaltwintechologycanconstructdigitaltwinsofubearingsacordingtoeevironmentalcharacteristicsinthework ingprocessofbearings.Thedigitaltwinismainlycompletedbytwosteps：modelconstructionandconditionalgenerativeadvesarial network（CGAN）training.Theconstructeddigitaltwincanprovidethewholelifeperformancedataofthebearingintheserviceprocessandacuratelyjudgethetrendofbearingperformanceatenuation.heresearchesultsavecertainpracticalreferencevalueforthe remaining life prediction of rolling bearings.

Keywords:Digital twin;New energy vehicles;Hub bearing;Residual life prediction

1前言

根据中国汽车工业协会2025年4月份发布的数据，2025年第一季度我国汽车产量是756.1万辆，销量是747万辆。（剩余4977字）