Vermontpanel1
panel1 时间:2021-01-06 阅读:()
PHM4SMSWorkshopPanel1WEKNOWWHATHAPPENSNEXTDavidSiegel(siegel@predictronics.
com)OverviewofManufacturingSectorsandExamplePHMApplications2PHMManufacturingApplicationsAutomotiveManufacturing‐IndustrialRobots,StampingMachines,ProcessLinesAerospaceManufacturing:MachineTools,ProductQualityPrediction,LaserDrilling/MachiningSemiconductorManufacturing:EtchingTools,VirtualMetrology,WaferSlicingProcessIndustry:steel/aluminummanufacturing,paper,consumergoods,food/beverageExampleMachineLevelPHMApplicationsforAutomotiveManufacturing3IndustrialRobotsServo-motortorquemonitoringMachineToolsNon-intrusiveperformancemonitoringToolconditionmonitoringSpindleperformancemonitoringBallscrewhealthassessment&lifepredictionBearinganalysis&diagnosisStampingMachinesProcessfaultdetectionCentrifugalAirCompressorData-drivensurgemapmodelingMiningforAlarmCorrelationPatternsFleet-basedhealthassessmentPastSuccessinManufacturingApplications"…theIMSCenterhasgeneratedover$855Mofeconomicimpacttoitsmemberswithabenefitcostratioof238:1.
"GrayDO,RiversDandVermontG.
"MeasuringtheEconomicImpactsofNSFI/UCRCProgram:AFeasibilityStudy"(May2012)PreparedforNSFI/UCRCunderEEC-0631414.
Accessedthrough:http://www.
ncsu.
edu/iucrc/PDFs/IUCRC_EconImpactFeasibilityReport_Final.
pdfHighlightsfrompastcasestudies:ToyotaandIMS(2007):Data-DrivenSurgeMapModelsandSurgeDetectionforCentrifugalAirCompressorso6.
5MsavingestimatedforextendedapplicationinwholefactoryConsumerGoodsManufacturerandIMS(2009):AutonomousProductionAnomalyDetectionAgentbyDataMiningMethodsoDramaticimprovementonproductqualityandmillionsinsavingsondowntimereductionAerospaceManufacturerandIMS(2011):MachineToolHealthAssessmentbyFixedCycleFeatureTextoAppliedonmultipleassetmonitoringintwofactoriesandseveremachinebreakdownwasdetectedtwoweeksinadvance.
4ChallengesMachinelevelPHM(MachineTools)oMultitudeofoperatingsettings(differentspeeds,depthsofcut,feedrates)–Howtonormalizethesefactorsinordertohaverobusthealthmonitoringmethods.
oHowtodealwiththehumanfactors(howwellwasmaintenanceperformed,howpeopleoperatethemachine(frompersontopersonandshifttoshift).
ObtainingtherightdatatododiagnosticsandprognosticsoManyheterogeneousdatasourcesfrommultipleplaces.
oObtaininginformationfrommachinecontrollersiseasiernowthen5yearsago,butcanstillbeabarrier.
oMaintenancerecordsareincomplete,sometimesmanuallyentered,andcanbeunstructured–Thisinaccuracycouldmakeitmoredifficulttousehistoricaldatatodevelopandvalidatediagnosticandprognosticsystems.
Systemlevel/ProductionLinePHMNeedsmoreResearchoManystudiesonmachineorcomponentlevelPHM;veryfewonmultiplemachinesinaproductionline.
oHowtodealwithchangesinsystemconfigurationandunitsbeingreplacedwithrespecttotypicalPHMapproachesbasedonabaseline/referencecondition.
oDatadrivenmodels+systemlevelinteractionmodelcouldbeneeded.
oPreviouscasestudywithconsumergoodsmanufacturerusedadata-drivenmethodthatcouldlearnovertime;theapproachworkedverywellbuttook3yearstodevelopandimplement.
5CurrentandFuturePerspectives6Forcertainapplications,Ifeelthatthetechnologyismatureenough(industrialrobots,machinetools,rotatingmachinery).
PHMapplicationsattheprocessorsystemlevelrequiremoreR&Dwork,andcreatingageneralapproachforbothmachinesandsystemsrequiresimprovementinthescienceandalsostandardstohelpgeneralizethemethodsandapproaches.
https://www.
youtube.
com/watchv=wb7iiEbIgHw&feature=youtu.
beVideoofrobothealthmonitoringsoftware:
com)OverviewofManufacturingSectorsandExamplePHMApplications2PHMManufacturingApplicationsAutomotiveManufacturing‐IndustrialRobots,StampingMachines,ProcessLinesAerospaceManufacturing:MachineTools,ProductQualityPrediction,LaserDrilling/MachiningSemiconductorManufacturing:EtchingTools,VirtualMetrology,WaferSlicingProcessIndustry:steel/aluminummanufacturing,paper,consumergoods,food/beverageExampleMachineLevelPHMApplicationsforAutomotiveManufacturing3IndustrialRobotsServo-motortorquemonitoringMachineToolsNon-intrusiveperformancemonitoringToolconditionmonitoringSpindleperformancemonitoringBallscrewhealthassessment&lifepredictionBearinganalysis&diagnosisStampingMachinesProcessfaultdetectionCentrifugalAirCompressorData-drivensurgemapmodelingMiningforAlarmCorrelationPatternsFleet-basedhealthassessmentPastSuccessinManufacturingApplications"…theIMSCenterhasgeneratedover$855Mofeconomicimpacttoitsmemberswithabenefitcostratioof238:1.
"GrayDO,RiversDandVermontG.
"MeasuringtheEconomicImpactsofNSFI/UCRCProgram:AFeasibilityStudy"(May2012)PreparedforNSFI/UCRCunderEEC-0631414.
Accessedthrough:http://www.
ncsu.
edu/iucrc/PDFs/IUCRC_EconImpactFeasibilityReport_Final.
pdfHighlightsfrompastcasestudies:ToyotaandIMS(2007):Data-DrivenSurgeMapModelsandSurgeDetectionforCentrifugalAirCompressorso6.
5MsavingestimatedforextendedapplicationinwholefactoryConsumerGoodsManufacturerandIMS(2009):AutonomousProductionAnomalyDetectionAgentbyDataMiningMethodsoDramaticimprovementonproductqualityandmillionsinsavingsondowntimereductionAerospaceManufacturerandIMS(2011):MachineToolHealthAssessmentbyFixedCycleFeatureTextoAppliedonmultipleassetmonitoringintwofactoriesandseveremachinebreakdownwasdetectedtwoweeksinadvance.
4ChallengesMachinelevelPHM(MachineTools)oMultitudeofoperatingsettings(differentspeeds,depthsofcut,feedrates)–Howtonormalizethesefactorsinordertohaverobusthealthmonitoringmethods.
oHowtodealwiththehumanfactors(howwellwasmaintenanceperformed,howpeopleoperatethemachine(frompersontopersonandshifttoshift).
ObtainingtherightdatatododiagnosticsandprognosticsoManyheterogeneousdatasourcesfrommultipleplaces.
oObtaininginformationfrommachinecontrollersiseasiernowthen5yearsago,butcanstillbeabarrier.
oMaintenancerecordsareincomplete,sometimesmanuallyentered,andcanbeunstructured–Thisinaccuracycouldmakeitmoredifficulttousehistoricaldatatodevelopandvalidatediagnosticandprognosticsystems.
Systemlevel/ProductionLinePHMNeedsmoreResearchoManystudiesonmachineorcomponentlevelPHM;veryfewonmultiplemachinesinaproductionline.
oHowtodealwithchangesinsystemconfigurationandunitsbeingreplacedwithrespecttotypicalPHMapproachesbasedonabaseline/referencecondition.
oDatadrivenmodels+systemlevelinteractionmodelcouldbeneeded.
oPreviouscasestudywithconsumergoodsmanufacturerusedadata-drivenmethodthatcouldlearnovertime;theapproachworkedverywellbuttook3yearstodevelopandimplement.
5CurrentandFuturePerspectives6Forcertainapplications,Ifeelthatthetechnologyismatureenough(industrialrobots,machinetools,rotatingmachinery).
PHMapplicationsattheprocessorsystemlevelrequiremoreR&Dwork,andcreatingageneralapproachforbothmachinesandsystemsrequiresimprovementinthescienceandalsostandardstohelpgeneralizethemethodsandapproaches.
https://www.
youtube.
com/watchv=wb7iiEbIgHw&feature=youtu.
beVideoofrobothealthmonitoringsoftware:
美国高防云服务器 1核 1G 26元/月 香港/日本站群服务器 E5 16G 1600元/月 触摸云
触摸云国内IDC/ISP资质齐全商家，与香港公司联合运营， 已超8年运营 。本次为大家带来的是双12特惠活动，美国高防|美国大宽带买就可申请配置升档一级[CPU内存宽带流量选一]升档方式：CPU内存宽带流量任选其一，工单申请免费升级一档珠海触摸云科技有限公司官方网站：https://cmzi.com/可新购免费升档配置套餐：地区CPU内存带宽数据盘价格购买地址美国高防 1核 1G10M20G 26...
HostKvm 黑色星期五香港服务器终身六折 其余机房八折
HostKvm商家我们也不用多介绍，这个服务商来自国内某商家，旗下也有多个品牌的，每次看到推送信息都是几个服务商品牌一起推送的。当然商家还是比较稳定的，商家品牌比较多，这也是国内商家一贯的做法，这样广撒网。这次看到黑五优惠活动发布了，针对其主打的香港云服务器提供终身6折的优惠，其余机房服务器依然是8折，另还有充值50美元赠送5美元的优惠活动，有需要的可以看看。HostKvm是一个创建于2013年的...
提速啦母鸡 E5 128G 61IP 1200元
提速啦（www.tisula.com）是赣州王成璟网络科技有限公司旗下云服务器品牌，目前拥有在籍员工40人左右，社保在籍员工30人+，是正规的国内拥有IDC ICP ISP CDN 云牌照资质商家，2018-2021年连续4年获得CTG机房顶级金牌代理商荣誉 2021年赣州市于都县创业大赛三等奖，2020年于都电子商务示范企业，2021年于都县电子商务融合推广大使。资源优势介绍：Ceranetwo...
panel1为你推荐
-
国内虚拟主机国内最好的虚拟主机域名价格什么样的域名比较值钱？服务器空间租用租用空间租用服务器一样吗中国互联网域名注册中国互联网络域名注册暂行管理办法的第三章 域名注册的申请域名代理怎么通过域名赚钱已备案域名查询已经有个顶级域名，怎么查询是否备案？国内ip代理谁能推荐一款最快的ip代理。域名备案域名怎么备案免备案虚拟空间教你怎么看免备案虚拟主机空间成都虚拟空间五星网络隶属于成都冠一科技有限公司，虚拟空间购买了不到一个月不能访问2次，质量真差啊！