首页|Study Results from National Technical University of Athens Provide New Insights into Artificial Intelligence (Ai Techniques for Evaluating Misaligned Journal Be aring Performance: an Approach Beyond the Sommerfeld Number)
Study Results from National Technical University of Athens Provide New Insights into Artificial Intelligence (Ai Techniques for Evaluating Misaligned Journal Be aring Performance: an Approach Beyond the Sommerfeld Number)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Zogra fos, Greece, by NewsRx correspondents, research stated, “This paper presents two novel artificial intelligence-based approaches for evaluating the performance o f heavily loaded marine journal bearings including shaft misalignment. Tradition ally, the Sommerfeld number has been used as a key parameter to evaluate the per formance similarity between different bearings.”
ZografosGreeceEuropeArtificial IntelligenceEmerging TechnologiesMachine LearningNational Technical University of Athens
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