大型···件多···移动···自律···协同··
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1.Re···rc···n ···ra···ic···ho···gn···de···si···vi···nt···at··· o···da···ve···ri···on···mo···de···po···io···lg···th···nd···nv···ti···l ···ra···et···k
- 关键词:
- Empirical mode decomposition;Noise abatement;Signal denoising;Signal to noise ratio;Ultrasonic testing;Variational techniques;Convolutional neural network;De-Noise;Intrinsic Mode functions;Modal decomposition;Mode decomposition;Optimization algorithms;Ultrasonic echo signals;Ultrasonic signals;Variational modal decomposition;Whale optimization algorithm
- Wa··· T···Yu···ij··
- 《In···ht···on···st···ti···Te···ng···d ···di···n ···it···ng》
- 2024年
- 66卷
- 9期
- 期刊
Th···pa··· p···en···a ···el···tr···ni···ig··· d···is··· m···od···at···te···te···da···ve···ri···on···mo···de···po···io···AV··· w··· c···ol···on···ne···l ···wo··· (···s)···ni···ll···th···ha···op···is···on···go···hm···OA···s ···lo··· t···pt···se···y ···am···rs··· v···at···al···de···co···si···n,···ec···ca··· t···de···po···io···od···K ··· t···pe···ty···ct···α.···e ···ra···ic···gn··· a···th···de···po··· i··· i···in··· m··· f···ti··· (···s)···d ···io···st···st···l ···tu···pa···et···, ···h ···en···y ···ro··· s···le···tr···, ···to··· a···co···la···n ···to··· a···ca···la··· f···ea···IM···Th···ig···-t···oi···ra··· (···) ···th···ec···tr···ed···gn···fr···th···MF···s ···d ···as···n ···el···lu··· f···in··· f···ur···at···t.···bs···en···, ···NN··· u···is···to···ai···nd···co···se···is···ta···, ···ie···g ···ac···ac···at···f ···94···n ··· t··· s··· T···re···ts···mo···ra···th···th···NN···fe···ve···di···ng···he···et···n ···io···IM···om···at···s ···ed··· t···re···st···te···NR···d ··· p···ic···tl···de···fy···F ···bi···io···wi···hi···r ···. ···al··· d···is··· e···ri···ts··· a···al···tr···ni···ch···ig···s ···id··· t···fe···bi···y ···th···me···d ··· n···e ···uc···n ···li···io··· ©···24···it··· I···it··· o···on···st···ti···Te···ng···ll···gh···re···ve··
...2.Au···at···ul···so··· t···in···or···ar···rf··· f···s ···CF··
- 关键词:
- Ultrasonic testing; near-surface flaws; MOMEDA; sparse; auto-correlation;MINIMUM ENTROPY DECONVOLUTION; IMPACT DAMAGE; ALGORITHM; DEFECTS
- Wa··· T···De··· W···in···ng···ai···;Y···Ci···
- 《NO···ST···TI···TE···NG···D ···LU···ON》
- 2024年
- 卷
- 期
- 期刊
In···tr···ni···es···g ···Ca···n ···er···in···ce···ol···rs···FR··· s···al···f ···r-···fa···fl··· a···of··· s···er··· i···nt···ac···ig···s,···su···ng··· b···d ···ts···r ···ec···et···io···To···dr··· t··· i···e,···is···pe···re···ts··· a···co···la···n ···gi···al···it···th···co···ne···ul···oi···Op···al···ni··· E···op···ec···ol···on···ju···d ···ME··· w··· $···0}···-n··· s···se···pr···nt···on···ir···y,···e ···ra···ic···gn···ca···e ···el··· a··· c···ol···on···oc···. ···us··· M···DA···he···qu···e ···re···ct···pu···s ···th···lt···on···si···l ···ob···ne···Th··· t···${···}$···no···sp···e ···re···ta···n ···ut···se···o ···an···th···em···al···so···io···f ··· s···en··· s···es···ll···ep···ti···ne···su···ce···fe···si···ls···om···te···ce···gn···. ···al··· t···pr···ss···da···is···pu···nt···he···to···re···io···lg···th···ac···vi···au···at···im···ng··· n···-s···ac···la··· S···la···n ···ul···de···st···e ··· e···ca···of···e ···or···m ···se···at··· o···la···ng···gn···. ···al··· e···ri···ta···al···ti···wa···on···te···n ···ws··· t···e ···fe···t ···th···Th···lg···th···re···te···n ···s ···er··· c···bl···f ···nt···in···ll···ar···rf··· f···s,···th···de···t ···e ···or···te···ns···en··· b···w ···
...3.A ···-s··· m···od···r ···em···c ···am···rs···li···ti···ba··· o···om···te···se···as···me···Ve···ic···on··· a···av···ut···ob··
- 关键词:
- Errors;Industrial robots;Iterative methods;Kinematics;Parameter estimation;Redundancy;Calibration method;Complete pose measurement;Heavy duty;Heavy-duty robot;Kinematic Calibration;Parameter analysis;Pose measurement;Redundant parameter analyse;Redundant parameters;Two-step calibration
- Mi··· L···Zh···, ···gl···g;···g,···ic···;G··· Y···ji···hu···ei···g;··· Y···li·
- 《Ro···ic···nd···mp···r-···eg···ed···nu···tu···g》
- 2023年
- 83卷
- 期
- 期刊
Th···oo···os···cc···cy··· i···st···l ···ot···es···ct···he···fu···er···pl···ti···in···ia···n ···uf···ur···. ···em···c ···ib···io···as···on···si···n ···or···s ···ra···io··· m···od··· i···ov···ob···ac···ac···Ho···er···ue··· t···di···re··· b···ee···en··· e···rs···d ···le···ro···in···e ···er··· m···it···, ···is···ff···lt··· a···ra···y ···ib···e ···se···om···ic···ra···er···og···er···n ···s ···er··· t···st···me···d ··· r···t ···em···c ···am···rs···li···ti···an··· n···l ···ho···or···si···n ··· o···nt···on···as···me···ar···ro···ed···d ···bi··· t···de···fy···es···wo···nd···f ···or···es···ti···y.···e ···un···t ···am···r ···or···ha···ff··· t···id···if···ti···ar···ls···na···ed···d ···mi···ed··· f···he···mp···e ··· a···ra···of···is···o-···p ···ho···Ta···g ··· L···nb···-M···ua··· a···ri··· a···he···de···in···lg···th···si···at··· r···lt···nd···te···at···e ···po··· t···st···ca···ra···n ···ho···as···st···it···ti···sp··· a···hi···r ···nt···ca···n ···ur··· t··· t···tr···ti···l ···. ···th···ba···, ··· c···br···on···d ···su···en···et···s ···po··· i···hi···ap···ar···er···ed··· a···av···ut···ob···us···fo···ib···pl···me··· E···ri···ta···es···s ···w ···t ··· m··· a···lu···po···io···rr···de···as···fr···0.···6 ···to···37···mm···te···al···at··· b···he···op···d ···-s··· c···br···on···th···wi···re···da··· e···in···on···he···so···e ···it··· a···ra···ha···nc···se···y ···81···om···ed···th···e ···di···na···et··· b···d ···po···io···rr··· o··· a···14···% ···pa··· w··· t···tw···te···al···at··· m···od···th··· r···nd···y ···mi···io···At···e ···e ···e,···e ···en···io···rr··· a···r ···ib···io···re···t ···e ···n ···48··· a···th···ve···e ···ab···ut···rr··· i···.0···. ···02·
...4.基于···服的···动态···取技···
- 关键词:
- 机器人抓取 视觉伺服 位姿跟踪 几何粒子滤波 基金资助:国家自然科学基金重点项目:大型复杂构件多机器人移动加工的自律跟踪与协同控制,91748204,2018.1-2021.12; 国家重点研发计划项目:大型风电叶片多机器人协同磨抛运动规划与控制,2017YFB1301504,2017.12-2019.12; 专辑:信息科技 专题:自动化技术 分类号:TP242 导师:陶波 手机阅读
- 0年
- 卷
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目标···机器···典型···之一···机运···的跟···则是···目标···域最···性的···可显···机器···的效···性以···或者···作能···有广···用前···觉是···最为···感知···一,···器视···器人···视觉···术为···动目···踪抓···了可···决方···而,···视觉···术对···运动···跟踪···然存···不足···心问···对随···目标···抓取···乏的···与鲁···本文···伺服···基础···视觉···的随···目标···抓取···题,···目标···以及···的跟···控制···行改···入研···要研···包括···了基···几何···波的···踪算···升了···踪的···和鲁···首先···边缘···形态···的方···特征···精简···,用···颜色···代原···度值···最后···一次···跟踪···标模···定比···更新···OT···15···的测···进后···将跟···由4···8f···高到···71···,中···误差···61···0.···重构···目标···维空···位姿···进几···滤波···跟踪···能够···器人···控制···RG···相机···深度···合的···视觉···果进···重构···过程···提高···位姿···速度···重构···云信···是有···地选···物上···的深···,通···D分···目标···姿。···“远···踪近···截抓···机器···跟踪···略,···机器···抓取···性。···程采···位置···伺服···si···n ···ed···su···se···in···BV···并对···S中···的位···预测···,减···踪过···机器···的滞···低了···程机···体遮···物可···搭建···人视···抓取···台,···一维···动、···机运···维随···三类···标物···抓取···实验···明,···出的···进几···滤波···标跟···算法···好的···和鲁···三维···动目···最大···度达···25···,最···角速···70···。
...5.基于···云的···杂构···人自···轨迹··
- 关键词:
- 大型复杂构件 机器人打磨 参数建模 点云处理 轨迹规划 基金资助:国家自然科学基金重点项目“大型复杂构件多机器人移动加工的自律跟踪与协同控制”,项目号:91748204,2018.1-2021.12; 国家重点研发计划项目“大型风电叶片多机器人协同磨抛运动规划与控制”,项目号:2017YFB1301504,2017.12-2019.12; 专辑:信息科技 专题:自动化技术 DOI:10.27157/d.cnki.ghzku.2019.001961 分类号:TP242 导师:陶波 手机阅读
- 0年
- 卷
- 期
- 期刊
大型···件如···片、···构件···壳体···是一···而又···工作···仍以···磨为···了提···复杂···磨质···率,···取代···磨已···然趋···实现···杂构···人高···加工···对加···规划···工件···理、···迹规···程进···。以···中仍···下问···器人···型依···多次···调整···费力···在吊···或搬···AD···工件···一致···人加···不能···大型···件模···信息···理困···成机···迹规···慢精···本文···型复···特点···了一···三维···大型···件机···主加···规划···并结···en···ca···何引···出大···构件···自主···迹规···。本···研究···下:···人自···轨迹···机器···和工···模型···大型···件尺···、加···要求···点,···立机···端的···数模···件的···量参···。基···接触···建了···末端···参数···基于···主成···法求···件的···息。···复杂···云处···型重···于迭···点法···种靶···矩阵···空间···法,···标变···对点···做出···换,···件在···点云···动变···过最···约束···维点···处理···一种···排序···将复···云模···为有···,最···B样···拟合···维重···三维···曲面···工对···用黄···法对···形约···关键···优化···利用···算法···迹规···得轨···标。···线点···法,···的轨···简成···的轨···提高···划速···合曲···数几···,计···点在···的参···值,···型的···息,···束机···端矢···,结···点坐···向矢···机器···轨迹···基于···基于···云的···杂构···人自···轨迹···法,···开发···复杂···器人···迹规···。并···叶片···对象···了本···规划···有效···型复···机器···规划···实用··
...6.基于···制的···构件···人协···技术··
- 关键词:
- 机器人加工 双机器人协作 阻抗控制 顺应控制 基金资助:国家自然科学基金重点项目:大型复杂构件多机器人移动加工的自律跟踪与协同控制,91748204,2018.1-2021.12; 国家重点研发计划项目: 大型风电叶片机器人智能磨抛技术与系统,2017YFB1301504,2017.12-2019.12; 专辑:信息科技 专题:自动化技术 分类号:TP242 导师:陶波 手机阅读
- 0年
- 卷
- 期
- 期刊
近年···制造···动化···化方···了长···步,···器人···生产···演着···要的···对于···构件···采用···器人···在加···于工···较弱···较大···,难···加工···量和···双机···侧互···加工···性构···提供···解决···本文···抗控···,提···针对···构件···双机···对侧···制策···用镜···力的···消,···件在···的受···,并···应控···解决···出现···问题···提升···工质···低次···目的···主要···容如···先,···由度···器人···学与···建模···行研···对本···及的···机器···成正···学建···利用···动学···R5···的定···补偿···及J···bi···最后···间三···机器···,完···学建···立机···型与···矩间···关系···,针···中存···磨与···撞问···出一···位置···制原···器人···制策···单侧···,以···速度···控制···控制···且根···矩与···之间···关系···线性···性两···策略···机器···系统···侧机···交互···力反···的输···别提···与非···制策···且通···验证···器的···踪与···性能···控制···有效···着,···器人···学与···模型···从运···与响···两个···最佳···节进···。针···制策···响应···不同···同参···制器···性进···,选···的控···数,···控制···鲁棒···后,···目视···平台···两侧···的结···标定···机器···对定···。利···力控···台,···加工···对侧···别进···。通···机器···工时···与力···化情···比各···下的···工质···定两···人刚···称时···控制···为最···制器···证明···分析···。
...7.Ef···t ···ri···in···is···ce···t ···th···ec···ic···be···io···f ···P ···te···oi··· w··· e···pt···l-···d ···-l···se···lo···ng···ve···ut
- 关键词:
- Elliptical-head non-lug self-locking rivet nut; One-sided connection;CFRP; Static tensile; Fatigue;FAILURE ANALYSIS; FATIGUE LIFE; STRENGTH; MODEL; COMPOSITES; DAMAGE
- Wa··· J···;Z··· C···ru···an···Ya···g;···ng···on···an···i,···nb·
- 《IN···NA···NA···OU···L ···AD···CE···AN···CT···NG···CH···OG·》
- 2023年
- 卷
- 期
- 期刊
Th···nc···si···in···ra··· m···fa···ri···of···mp···te···mp···nt···eq···ed···fi···nc···nd···li···e ···-s···d ···ne···on···n ···s ···er···he···fe···of···ve···g ···pl···me···on···e ···ha···al···ha···r ···CF···si···e-··· b···ed···in···wi···a ··· t··· o···ne···de···on···te···as···er···me···ll···ic···he···no···ug···lf···ck··· (···L)···ve···ut···s ···di··· A···re···im···io··· F···od···co···de···g ···P ···ag···nd···t ···er··· p···ti···ef···at··· w···de···op··· T···wh··· p···es···f ··· j···t ···m ··· f···in···o ···ti···en···e ···ld··· s···la··· b···he··· m···l.···e ···qu···oa···ro···he···en···in···e ···si···re···ns···f ··· j···t ···h ··· E··· r···t ··· w···ex···in··· T···fo···ng···al···, ···si··· a···fa···ue···ha···r ···jo···s ··· p···re···ve···ma···of···RP···th···ve···ve···g ···pl···me··· w··· c···re···si···y ···di···by···pe···en···an···um···ca···im···ti···. ··· r···lt···ho··· t··· t···te···le···re···h ···re···d ···h ··· i···ea···of···e ···et··· d···la···en···wh··· t···fa···ue···fe···cr···ed···e ···th···ar··· r···du···st···s ··· d···ge··· C··· c···ed··· t···la···r ···et··· d···la···en···n ··· n···fo···ng···oc···. ··· f···gu···if···f ··· j···t ···ul···e ···si···ed···re···gn···ca···y ···th···el···io···f ··· r···ti···di···ac···nt·
...8.Ef···t ···ri···in···ar···te···on···e ···mi···qu···ty··· r···te···ap···in···wi···re···ed···un···su···he···ha···cr··· r···t
- 关键词:
- Reduced countersunk head half-crown rivet; Riveting parameters; Finiteelement modeling; Forming quality;STRESS
- Wa··· J···;Z···g,···ng···ng···en···Li···ia···an···Ya···g;··· Y···o
- 《IN···NA···NA···OU···L ···AD···CE···AN···CT···NG···CH···OG·》
- 2022年
- 121卷
- 11-12期
- 期刊
As···ki···of···te···re··· r···t ···h ···pe···ti···at···e ···d,···e ···uc···co···er···k ···d ···f-···wn···ve···an···hi··· l··· l··· s···in···iv···ng···r ···pl··· t···s ···en···e ···ms···th···ec··· r···ir···nt···or···al··· a···fa···ue···rf···an··· I···he···es··· s···y,···qu···er···th···-d···ns···al···ni···el···nt···de···as···ea··· t···im···te···e ···et··· p···es···Th···E ···el···s ···id···d ···m ··· p···pe···ve··· d···en···ad···me···on···nd···te···re···s ···ed··· t···ex···im··· r···lt···Th···ff···s ···fe···di···ac···nt··· r···t ···s,···ed···ee···at···of···ve···ie···pr···ee···is···ce···t ···up··· r···t ··· a···co···er···k ···th··· t···fo···ng···al··· o···iv···d ··· j···ts···re···st···ti···ly···ud···. ··· r···lt···ho··· t··· t···av···ge···te···re··· i···ea··· w··· t···in···as···f ··· f··· d···la···en···f ···et···es···hi···it···cr···ed···th···e ···re··· o···he···ed···ee···at···of···ve···ie···nd···e-···d ···pl···me···of···pe···iv···di···Th···ou···rs··· d···h ···1.···mm··· t···tr···it··· d···h ··· t···ri··· s···ie···n ···s ···er···n ···it···, ··· r···lt···f ···bi··· e···ct··· f··· s···d ···io··· r···t ···s ··· p···fe···di···ac···nt··· u···r ···et···e ···th···or···g ···li···pr···d ···t ··· i···ue··· l··· o···in··· p···me··· w··· n···on··· s···ed···r ··· s···ar···of···mb···d ···ec···f ···ti··· r···ti···pa···et···. ···s ···er···n ···vi···sc···ti··· a···no···ti···gu···nc···or···e ···li···io···of···du··· c···te···nk···ad···lf···ow···iv···in···gi···ri···st···tu···
...9.一种···学器···的近···目系·
- 关键词:
- 器械识别;手术导航;光学定位;双目视觉
- 王杰···亮;···
- 《红外···工程》
- 2022年
- 卷
- 06期
- 期刊
近红···跟踪···其高···便捷···迅速···为手···中的···成部···于双···设计···高精···成本···跟踪···该系···安装···上的···记球···I ···si···Sp···e)···记,···目相···前添···外滤···以消···光的···首先···轮廓···法,···记轮···取,···小二···拟合···取标···中心···坐标···,设···械识···,使···械可···有序···记球···像素···用于···械的···最后···左右···应标···匹配···其空···,进···出器···在世···系中···。实···该系···器械···器械···则摆···验证···识别···准确···棒性···率达···,平···时间··· m···对系···了稳···静态···度、···踪等···结果···稳定···可达···3 ···静态···度可···37···m,···的近···学跟···具有···精度···性,···足手···的要··
...10.Er··· c···en···io···as···on···rf··· r···ns···ct··· f···in···tr··· r···t ···tw···im···io··· m···fo··
- 关键词:
- Interpolation;Error compensation;Machine design;Surface reconstruction;Least squares approximations;Industrial research;B-spline method;Design/methodology/approach;Error surface;Joint space;Manifold;Moving least-squares interpolation;Positioning accuracy;Positioning error;Surfaces reconstruction;Two-dimensional
- Li···ua···a;···, ··· D···;D···, ···yu···e,···ng···
- 《In···tr··· R···t》
- 2022年
- 49卷
- 4期
- 期刊
...···iv···co··· 2···, ···ra···Pu···sh··· L···te··
