变工况异源域刀具磨损均衡联合分布适配识别
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中图分类号：TH164 文献标志码：A 文章编号：1671-5276（2025）03-0110-06
Tool Wear Identification Basedon Balanced Joint Distribution Adaptation in Different Source Regions under Variable Working Conditions
LI Xiaoguang， ZHANG Liheng （Hebei Science and Technology Engineering Shool，Baoding O71O3O，China）
Abstract：Inodertoimprovetheaccuracyof tolwearidentificationinthecaseofvariableworkingconditionsandheterogeneous samples，atol wearidentificationalgorithmbasedonbalancedjointdistributionadaptationisproposed.Thetol wear mechanismandwearprocesscharacteristicsareanalyzed，andthetolweareature spaceisconstructedfrommultipledomain.To copewiththefailureindeterminingthedistributionadaptationconcernduetothediferenceofedgedistributionandthe dierenceofconditionalprobabilitydistribution，anequilibriumjointdisributionadaptationmethodisproposedtoachievethe optimaladaptationefectofthesouredomainandtargetdomain.Thebalanced jointdistributionadaptationandKNNalgorithm areappliedtotheidentificationoftoolwearundervariableworkingcondions.Theexperimentverifiesthattheaverage recognition accuracy of balanced joint distribution adaptation and KNN iteration is 92.59% ，17.28 per cent higher than that of JDA + KNNmethod，indcatingthatthebalancedjointdistributionadaptationhasadvantagesintolwearidentificationindifferent regions.
Keywords：tool wear；balanced joint distributionadaptation；variable workingconditions；samplesof diferent sourceregions; iterativeidentification
0 引言
切削加工是制造业的基础加工方式，在切削加工过程中，刀具会伴随有磨粒磨损、疲劳磨损等[1]。（剩余7908字）