控制理论与应用ControlTheoryandApplications《自动化技术与应用》2023年第42卷第6期TechniquesofAutomation&Applications基于激光干涉技术的电力设备故障诊断方法郭晓菡,李旭阳,李凌云,康艳芳(河南省电力公司经济技术研究院,河南郑州450052)摘要:为实现电力设备故障精准诊断,提升诊断效率,提出基于激光干涉技术的电力设备故障诊断方法。构建激光自混合干涉技术的理论模型,采集电力设备的激光干涉信号后,通过A/D转换将激光信号变换成数字信号,通过采集数字信号后传输到计算机中,进行电力设备振动信号的激光干涉时域以及频域分析,实现电力设备故障自动诊断。实验结果表明,该方法可从时域以及频域两方面完成圆柱齿轮A断齿故障的精准诊断,该方法诊断单个以及多个电力设备故障具有效率高、正确率高优点,且其诊断正确率可达93%。关键词:激光干涉;故障自动诊断;干涉信号;振动信号中图分类号:TP206+.3文献标识码:A文章编号:1003-7241(2023)06-0028-05FaultDiagnosisMethodofPowerEquipmentBasedonLaserInterferenceTechnologyGUOXiao-han,LIXu-yang,LILing-yun,KANGYan-fang(ResearchInstituteofEconomicsandTechnologyofStateGridHenanElectricPowerCompany,Zhengzhou450052China)Abstract:Inordertoachieveaccuratefaultdiagnosisofpowerequipmentandimprovethediagnosisefficiency,afaultdiagnosismethodofpowerequipmentbasedonlaserinterferencetechnologyisproposed.Thetheoreticalmodeloflaserself-mixinginterferencetech-nologyisconstructed.Aftercollectingthelaserinterferencesignalofpowerequipment,thelasersignalistransformedintodigitalsignalbyA/Dconversion.ThedigitalsignaliscollectedbyAdvantechacquisitioncardandthentransmittedtothecomputerforlaserinterferencetimedomainandfrequencydomainanalysisofpowerequipmentvibrationsignal,soastorealizeautomaticfaultdiagnosisofpowerequipment.TheexperimentalresultsshowthatthismethodcanaccuratelydiagnosethebrokentoothfaultofcylindricalgearAinbothtimedomainandfrequencydomain.Thismethodhastheadvantagesofhighefficiencyandhighaccuracyindiagnosingsingleandmultiplepowerequipmentfaults,anditsdiagnosisaccuracycanreach93%.Keywords:laserinterference;faultAutomaticdiagnosis;interferencesignal;vibrationsignal收稿日期:2022-02-28DOI:10.2...