{"id":113422,"date":"2020-05-11T20:42:07","date_gmt":"2020-05-11T17:42:07","guid":{"rendered":"https:\/\/www.enerjigazetesi.ist\/?p=113422"},"modified":"2020-05-11T22:04:44","modified_gmt":"2020-05-11T19:04:44","slug":"yapay-zekali-robotlar-uretimde-maksimum-verim-sagliyor","status":"publish","type":"post","link":"https:\/\/www.enerjigazetesi.ist\/en\/yapay-zekali-robotlar-uretimde-maksimum-verim-sagliyor\/","title":{"rendered":"(Turkish) Yapay Zekal\u0131 Robotlar \u00dcretimde Maksimum Verim Sa\u011fl\u0131yor"},"content":{"rendered":"

Sorry, this entry is only available in Turkish<\/a>. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.<\/p>

<\/p>\n

Robotik alan<\/strong>\u0131<\/strong>nda sesli kontrolden 3D g<\/strong>\u00f6<\/strong>r<\/strong>\u00fc<\/strong>nt<\/strong>\u00fc<\/strong> uygulamas<\/strong>\u0131<\/strong>na kadar pek <\/strong>\u00e7<\/strong>ok geli<\/strong>\u015f<\/strong>me giderek h<\/strong>\u0131<\/strong>z kazan<\/strong>\u0131<\/strong>rken <\/strong>\u00f6<\/strong>ne <\/strong>\u00e7<\/strong>\u0131<\/strong>kan uygulamalar<\/strong>\u0131<\/strong>n ba<\/strong>\u015f\u0131<\/strong>nda robot sistemlerinin yapay zeka ile geli<\/strong>\u015f<\/strong>tirilmesi geliyor. Bu sayede yetenekleri artan robotlar, art<\/strong>\u0131<\/strong>r<\/strong>\u0131<\/strong>lm<\/strong>\u0131\u015f<\/strong> \u00f6<\/strong>nleyici bak<\/strong>\u0131<\/strong>m teknolojileri sayesinde <\/strong>\u00fc<\/strong>retimde ya<\/strong>\u015f<\/strong>anan beklenmedik ar<\/strong>\u0131<\/strong>zalar<\/strong>\u0131<\/strong>n <\/strong>\u00f6<\/strong>n<\/strong>\u00fc<\/strong>ne ge<\/strong>\u00e7<\/strong>ilmesine imkan tan<\/strong>\u0131<\/strong>yor. Bir asra yak<\/strong>\u0131<\/strong>n ge<\/strong>\u00e7<\/strong>mi<\/strong>\u015f<\/strong>inde hayata ge<\/strong>\u00e7<\/strong>irdi<\/strong>\u011f<\/strong>i <\/strong>\u00e7<\/strong>\u0131\u011f\u0131<\/strong>r a<\/strong>\u00e7<\/strong>an teknolojilerle dikkat <\/strong>\u00e7<\/strong>eken Mitsubishi Electric, tescilli yapay zeka (AI) markas<\/strong>\u0131<\/strong> \u201c<\/strong>Maisart<\/strong>\u201d<\/strong> teknolojisi ile <\/strong>\u015f<\/strong>irketlerin yapay zekadan maksimum fayda elde etmelerini sa<\/strong>\u011f<\/strong>lamak i<\/strong>\u00e7<\/strong>in <\/strong>\u00e7<\/strong>al<\/strong>\u0131\u015f\u0131<\/strong>yor. Bu noktada Mitsubishi Electric’in en yeni robot serilerinde kulland<\/strong>\u0131\u011f\u0131<\/strong> MELFA Smart Plus teknolojisi, AI tabanl<\/strong>\u0131<\/strong> kestirimci bak<\/strong>\u0131<\/strong>m imkan<\/strong>\u0131<\/strong> sunarak m<\/strong>\u00fc<\/strong>hendislere robotun hizmet <\/strong>\u00f6<\/strong>mr<\/strong>\u00fc<\/strong>n<\/strong>\u00fc<\/strong> uzatmak i<\/strong>\u00e7<\/strong>in <\/strong>\u00e7<\/strong>al<\/strong>\u0131\u015f<\/strong>mas<\/strong>\u0131<\/strong>nda de<\/strong>\u011f<\/strong>i<\/strong>\u015f<\/strong>iklikler yapma f<\/strong>\u0131<\/strong>rsat<\/strong>\u0131<\/strong> sa<\/strong>\u011f<\/strong>l<\/strong>\u0131<\/strong>yor. <\/strong><\/h1>\n

Robot teknolojileri<\/strong> b\u00fcy\u00fck bir h\u0131zla geli\u015firken en dikkat \u00e7ekici g\u00fcndem maddelerinin ba\u015f\u0131nda yapay zeka uygulamalar\u0131<\/strong> geliyor. Robotik sistemlerin yapay zekayla geli\u015ftirilmesi<\/strong> sonucu yetenekleri artan robotlar, kestirimci ve \u00f6nleyici bak\u0131m\u0131n t\u00fcm avantajlar\u0131ndan faydalanma imk\u00e2n\u0131 sa\u011fl\u0131yor. Robotik alandaki yapay zeka trendlerinden en \u00f6nemlisi olarak g\u00f6r\u00fclen art\u0131r\u0131lm\u0131\u015f \u00f6nleyici bak\u0131m teknolojileri<\/strong> ile end\u00fcstriyel \u00fcretim<\/strong>de ya\u015fanan beklenmedik ar\u0131zalar\u0131n \u00f6n\u00fcne ge\u00e7ilmesi m\u00fcmk\u00fcn oluyor.<\/p>\n

\"\"Beklenmedik ar<\/strong>\u0131<\/strong>za maliyetinin %<\/strong>\u00a042<\/strong>\u2019<\/strong>si fabrika ekipmanlar<\/strong>\u0131<\/strong>ndan kaynaklan<\/strong>\u0131<\/strong>yor<\/strong><\/h2>\n

Ara\u015ft\u0131rma \u015firketi Frost & Sullivan<\/strong> taraf\u0131ndan yay\u0131nlanan rapora g\u00f6re, end\u00fcstriyel \u00fcretim<\/strong>de ya\u015fanan beklenmedik ar\u0131zalar\u0131n maliyetinin 45 milyar avroya<\/strong> ula\u015ft\u0131\u011f\u0131 tahmin ediliyor ve bu oran\u0131n y\u00fczde 42’sinin temel sebebinin fabrika ekipmanlar\u0131nda ya\u015fanan ar\u0131zalar oldu\u011fu ifade ediliyor. S\u00f6z konusu kay\u0131p, \u00fcretim maliyetinin yan\u0131 s\u0131ra beklenmedik kesintiler, bak\u0131m, onar\u0131m ve ekipman de\u011fi\u015fimine y\u00f6nelik<\/strong> maliyetler ve makinelerin olabildi\u011fince h\u0131zl\u0131 bir \u015fekilde tekrar \u00fcretime d\u00f6nd\u00fcr\u00fclmesi i\u00e7in g\u00f6sterilen \u00e7abay\u0131 da kaps\u0131yor.<\/p>\n

Ar\u0131zaya yol a\u00e7acak par\u00e7alar hakk\u0131nda kullan\u0131c\u0131y\u0131 \u00f6nceden ikaz eden<\/strong> \u00f6nleyici bak\u0131mla sorunun ortadan kald\u0131r\u0131lmas\u0131 m\u00fcmk\u00fcn olabiliyor. B\u00f6ylece bak\u0131m ekipleri ar\u0131za ger\u00e7ekle\u015fmeden bak\u0131m yapma f\u0131rsat\u0131 bulabiliyor ve beklenmedik ar\u0131zalar azalarak planl\u0131 kesinti s\u00fcreleri<\/strong> k\u0131sal\u0131yor. \u00dcretim hatt\u0131n\u0131n di\u011fer par\u00e7alar\u0131 gibi robotlar\u0131n da uzun s\u00fcre g\u00fcvenli bir \u015fekilde \u00e7al\u0131\u015fmas\u0131 i\u00e7in d\u00fczenli bak\u0131m g\u00f6rmeleri<\/strong> gerekiyor. Bu \u00f6nleyici bak\u0131m teknolojileri; yapay zeka (AI) teknolojisi<\/strong>yle \u00f6nemli d\u00fczeyde geli\u015ftirilebiliyor ve makine \u00f6\u011frenimi algoritmalar\u0131 makinenin \u00e7al\u0131\u015fmas\u0131na ili\u015fkin daha fazla veriyi a\u00e7\u0131\u011fa \u00e7\u0131kar\u0131yor. Bu sayede mevcut performans\u0131, \u00f6nceden belirlenmi\u015f kriterlerle kar\u015f\u0131la\u015ft\u0131rman\u0131n \u00f6tesine ge\u00e7erek ger\u00e7ek zamanl\u0131 veri ve ge\u00e7mi\u015f trendler hakk\u0131nda kararlar verilebiliyor.<\/p>\n

Mitsubishi Electric yeni robotlar<\/strong>\u0131<\/strong>nda AI tabanl<\/strong>\u0131<\/strong> kestirimci bak<\/strong>\u0131<\/strong>m ile ar<\/strong>\u0131<\/strong>zalar<\/strong>\u0131<\/strong> azalt<\/strong>\u0131<\/strong>yor<\/strong><\/h2>\n

Mitsubishi Electric’in en yeni robot serileri<\/strong>nde kulland\u0131\u011f\u0131 MELFA Smart Plus fonksiyonu<\/strong>, AI tabanl\u0131 kestirimci bak\u0131ma iyi bir uygulama \u00f6rne\u011fi olarak \u00f6ne \u00e7\u0131k\u0131yor. Bu entegre teknoloji, ana robot bile\u015fenlerinin \u00e7al\u0131\u015ft\u0131\u011f\u0131 s\u00fcreyi hassas bir \u015fekilde izlerken fiili \u00e7al\u0131\u015fma ko\u015fullar\u0131na g\u00f6re bak\u0131m programlar\u0131n\u0131 hesapl\u0131yor. Uygulaman\u0131n tasar\u0131m a\u015famas\u0131<\/strong>nda robotun hizmet \u00f6mr\u00fcn\u00fc ve y\u0131ll\u0131k bak\u0131m maliyetlerini<\/strong> tahmin etmek i\u00e7in sim\u00fclasyon kabiliyetleri de sunan bu teknoloji, m\u00fchendislere robotun hizmet \u00f6mr\u00fcn\u00fc uzatmak i\u00e7in<\/strong> \u00e7al\u0131\u015fmas\u0131nda de\u011fi\u015fiklikler yapma f\u0131rsat\u0131 sa\u011fl\u0131yor.<\/p>\n

Mitsubishi Electric\u2019in MELFA FR Serisi<\/strong> robotlar\u0131 robot bak\u0131m maliyetlerini minimum d\u00fczeyde tutmak i\u00e7in tasarland\u0131. M\u00fckemmel mekanik tasar\u0131m\u0131yla bak\u0131m periyodlar\u0131n\u0131n uzun oldu\u011fu bu robot serisinin AI tabanl\u0131 kestirimci bak\u0131m fonksiyonu ile birle\u015ftirilmesi, planl\u0131 veya beklenmedik ar\u0131zalar\u0131 azaltarak<\/strong> \u00fcretim s\u00fcresini \u00f6nemli d\u00fczeyde art\u0131r\u0131yor.<\/p>\n

\u201cMaisart” teknolojisi ile yapay zeka tabanl<\/strong>\u0131<\/strong> fabrikalarda verimlilik art<\/strong>\u0131<\/strong>yor<\/strong><\/h2>\n

Bir asra yakla\u015fan tecr\u00fcbesiyle Mitsubishi Electric, \u015firketlerin yapay zekadan maksimum fayda elde etmeleri<\/strong>ni sa\u011flamak amac\u0131yla tescilli AI markas\u0131 \u201cMaisart” teknolojisini kullan\u0131yor. \u201cMitsubishi Electric’s AI creates the State-of-the-ART in technology\u201d (Mitsubishi Electric’in AI’s\u0131 ile en yeni teknoloji)<\/strong> ifadesinin k\u0131saltmas\u0131 olan \u201cMaisart\u201d ile yapay zeka tabanl\u0131 fabrikalar<\/strong>da ve tesislerde ekipman duru\u015f s\u00fcresi azal\u0131rken verimlili\u011fin art\u0131r\u0131lmas\u0131<\/strong> sa\u011flan\u0131yor. Makine \u00f6\u011frenmesi algoritmas\u0131n\u0131 kullanan bu teknoloji, sens\u00f6r verilerini<\/strong> analiz ettikten sonra farkl\u0131 operasyonel durumlar aras\u0131nda \u00fcretim makinesi ge\u00e7i\u015fine ili\u015fkin bir model<\/strong> olu\u015fturuyor. Bu sayede fabrika ve tesislerde verimlili\u011fi art\u0131rma<\/strong>k \u00fczere makinelerdeki beklenmedik durumlar\u0131 i\u015faret eden makine anormalliklerinin h\u0131zl\u0131 ve do\u011fru bir \u015fekilde<\/strong> tespit edilmesi sa\u011flan\u0131yor.<\/p>","protected":false},"excerpt":{"rendered":"

Sorry, this entry is only available in Turkish. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language. Robotik alan\u0131nda sesli kontrolden 3D g\u00f6r\u00fcnt\u00fc uygulamas\u0131na kadar pek \u00e7ok geli\u015fme giderek h\u0131z kazan\u0131rken \u00f6ne \u00e7\u0131kan uygulamalar\u0131n ba\u015f\u0131nda robot sistemlerinin yapay zeka […]<\/p>\n","protected":false},"author":1,"featured_media":113425,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[51,53,157],"tags":[71774,71765,71763,71767,71769,71770,71771,1087,71773,71766,15655,71764,69973,65918,60988,71772,71768],"views":134,"_links":{"self":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/113422"}],"collection":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/comments?post=113422"}],"version-history":[{"count":0,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/posts\/113422\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media\/113425"}],"wp:attachment":[{"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/media?parent=113422"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/categories?post=113422"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.enerjigazetesi.ist\/en\/wp-json\/wp\/v2\/tags?post=113422"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}