Computer-Implemented Method for Evaluating Rolling Element Cage Pockets, Computer-Implemented Method for Generating a Training Dataset for a Machine Learning System, Computer-Implemented Method for Training a Machine Learning System for Evaluating Rolling Element Cage Pockets, and Training Dataset

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This patent describes a computer-implemented method for evaluating bearing cage pockets by analyzing specific geometric parameters (defining curves in two perpendicular planes), assessing performance characteristics of bearing cages with these pockets, and generating output data based on this performance evaluation. It also covers creating training datasets and training machine learning systems for automating the assessment of bearing cage pockets.

Use CasesContent extracted from patent full text and abstract with AI.

• Automated quality control in manufacturing of bearing cages.
• Design optimization of rolling-element bearings in mechanical engineering.
• Development of machine learning tools for predictive maintenance of machinery.
• Improving simulation and analysis software for bearings.

BenefitsContent extracted from patent full text and abstract with AI.

• Enables faster and more accurate evaluation of bearing cage pocket designs.
• Supports automation and reduces manual labor in assessment processes.
• Facilitates advanced machine learning solutions for engineering applications.
• Improves bearing reliability and operational efficiency through better design insights.

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Patent Abstract

Die Erfindung betrifft ein computerimplementiertes Verfahren zum Bewerten von Wälzkörperkäfigtaschen umfassend:- Erhalten eines Eingangsdatensatzes (120) umfassend erste Parameter (S1) zur Definition einer ersten Kurve (K1) in einer ersten Ebene und zweite Parameter (S2) zur Definition einer zweiten Kurve (K2) in einer zweiten Ebene, wobei die zweite Ebene senkrecht zur ersten Ebene angeordnet ist;- Ermittlung von mindestens einer Performanceangabe eines die Wälzkörperkäfigtasche aufweisenden Wälzkörperkäfigs in Abhängigkeit von dem Eingangsdatensatz (120); und- Erzeugen eine Ausgangsdatensatzes (130) in Anhängigkeit von der Performanceangabe, insbesondere aufweisend die Performanceangabe.