{"id":88928,"date":"2025-02-24T10:06:52","date_gmt":"2025-02-24T02:06:52","guid":{"rendered":"https:\/\/solomon-3d.mesvr.tw\/?p=88928"},"modified":"2025-02-24T10:16:48","modified_gmt":"2025-02-24T02:16:48","slug":"fehlererkennung-bei-lagern-mit-ki","status":"publish","type":"post","link":"https:\/\/solomon-3d.mesvr.tw\/de\/referenzen\/fehlererkennung-bei-lagern-mit-ki\/","title":{"rendered":"Fehlererkennung bei Lagern mit KI"},"content":{"rendered":"
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<\/span>\"\"
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SolVisionFallstudie<\/strong><\/span><\/h2>\n\n\n\n
Metallverarbeitung<\/a> | Fertigung<\/a><\/div>\n<\/div><\/div>\n\n\n\n
<\/div>\n\n\n

Fehlererkennung bei Lagern mit KI<\/h1><\/div><\/div>\n\n\n\n
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Kunde<\/h2>\n\n\n\n

Der Kunde ist ein Hersteller, der sich auf Lagerkomponenten spezialisiert hat und eine effiziente, gro\u00dffl\u00e4chige Inspektion ben\u00f6tigt, um eine hohe Produktqualit\u00e4t sicherzustellen.<\/p>\n\n\n\n

<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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Fall<\/h2>\n\n\n\n
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Funktionen und Merkmale von Lagern<\/h3>\n\n\n\n

Ein Lager oder Lagerbaugruppe unterst\u00fctzt rotierende Wellen, indem es die Achsenausrichtung aufrechterh\u00e4lt und die Reibung w\u00e4hrend der Bewegung reduziert. Lager sind kritische Komponenten, die in verschiedenen Anwendungen wie Automotoren, Produktionsanlagen in der Industrie und Haushaltsger\u00e4ten eingesetzt werden.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/div>\n\n\n\n
\"metal<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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Herausforderung<\/h2>\n\n\n\n
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Fehlererkennung bei Lagern mit traditionellen Methoden<\/h3>\n\n\n\n

Die Erkennung von Defekten in Lagergewinden stellt zwei Hauptanforderungen dar. Erstens umfasst die Gewindeinspektion die Bewertung des Innenbereichs des Lagers aus mehreren Blickwinkeln, um Defekte wie \u00fcberm\u00e4\u00dfigen Steigungsfehler, \u00dcberbearbeitung oder gebrochene Nuten zu identifizieren. Die feine Beschaffenheit der Gewinde macht diese Defekte mit blo\u00dfem Auge schwer erkennbar. Die zweite Herausforderung besteht darin, Fremdk\u00f6rper im Lager zu identifizieren, bei denen unregelm\u00e4\u00dfige schwarze Flecken, die durch Reibung verursacht werden \u2013 m\u00f6glicherweise aufgrund von Staub- oder Flusenverunreinigungen \u2013 ebenfalls visuell schwer zu erkennen sind, wenn traditionelle Inspektionsmethoden angewendet werden.<\/p>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n

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L\u00f6sung<\/h2>\n\n\n\n
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Fortschrittliche Fehlererkennung mit SolVision<\/h3>\n\n\n\n

Das visuelle Inspektionswerkzeug von SolVision<\/a> identifiziert effektiv verschiedene Defekte in Lagergewinden, indem es ein KI-Modell mit nur wenigen Beispielbildern trainiert. Das KI-Visionssystem kategorisiert Defekte w\u00e4hrend der Inspektion und verbessert kontinuierlich seine Erkennungsf\u00e4higkeiten durch Deep Learning<\/a>. Dadurch reduziert SolVision die Inspektionszeit und verbessert den Qualit\u00e4tskontrollprozess erheblich mit der Geschwindigkeit und Pr\u00e4zision von KI.<\/p>\n\n\n\n

<\/div>\n\n\n\n
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Fehlererkennung bei Lagern<\/h4>\n\n\n\n

Gewindeinspektion<\/h5>\n\n\n\n
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\"Normal<\/figure>\n<\/div>\n\n\n

Normal<\/strong><\/p>\n<\/div>\n\n\n\n

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\"Defective<\/figure>\n<\/div>\n\n\n

\u00dcberm\u00e4\u00dfiger Steigungsfehler<\/strong><\/p>\n<\/div>\n\n\n\n

\n
\"Defective<\/figure>\n<\/div>\n\n\n

\u00dcberbearbeitung<\/strong><\/p>\n<\/div>\n\n\n\n

\n
\"Defective<\/figure>\n<\/div>\n\n\n

Gebrochene Nuten<\/strong><\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

Inspektion auf Fremdk\u00f6rper<\/h5>\n\n\n\n
\n
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\"Defective<\/figure>\n<\/div><\/div>\n\n\n\n
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\"Defective<\/figure>\n<\/div><\/div>\n\n\n\n
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\"Defective<\/figure>\n<\/div><\/div>\n\n\n\n
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\"Defective<\/figure>\n<\/div><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n <\/div><\/div>\n\n\n\n
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Ergebnis<\/h2>\n\n\n\n
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<\/path><\/svg>Verk\u00fcrzte Inspektionszeit und verbesserte Qualit\u00e4tskontrolle<\/span><\/div>
<\/path><\/svg>Erfasste Defekte, die mit blo\u00dfem Auge unsichtbar sind<\/span><\/div>
<\/path><\/svg>Pr\u00e4zise Klassifizierung verschiedener Defektarten<\/span><\/div><\/div>\n<\/div>\n<\/div>\n <\/div><\/div>","protected":false},"excerpt":{"rendered":"

Entdecken Sie, wie die KI-Technologie von SolVision die Fehlererkennung bei Lagern durch pr\u00e4zise Gewindeinspektion verbessert und dabei die Qualit\u00e4tskontrolle und Effizienz steigert.<\/p>","protected":false},"author":875,"featured_media":79553,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_gspb_post_css":"#gspb_heading-id-gsbp-5f6009ef-2b72{font-size:60px;line-height:100px;text-align:center!important;color:var(--gs-colorone);margin-top:50px}#gspb_heading-id-gsbp-5f6009ef-2b72 .gsap-g-line{text-align:center!important}#gspb_heading-id-gsbp-5f6009ef-2b72 .gspb_heading_subtitle,#gspb_subheading-id-gsbp-5f6009ef-2b72{display:block;line-height:22px;margin-top:5px;font-size:30px;color:var(--wp--preset--color--white, #ffffff)}.gspb_text-id-gsbp-fa6ec577-bc74{font-size:20px;text-align:center!important;font-weight:500!important}.gspb_text-id-gsbp-fa6ec577-bc74 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