首页|Recent Findings from Aristotle University of Thessaloniki Provides New Insights into Machine Learning (Condition Monitoring Framework for Damage Identification In Cfrp Rotating Shafts Using Model-driven Machine Learning Techniques)
Recent Findings from Aristotle University of Thessaloniki Provides New Insights into Machine Learning (Condition Monitoring Framework for Damage Identification In Cfrp Rotating Shafts Using Model-driven Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators discuss new findings in Machine Learning. According to news reportingfrom Thessaloniki, Greece, by News Rx journalists, research stated, “Real-time condition monitoring (CM)through vi bration measurements is instrumental in detecting faults and enabling predictive maintenancefor mechanical systems. The accuracy and robustness of a CM applica tion depends among others onthe availability of data for different health state s which typically requires complete experimental measurements.”
ThessalonikiGreeceEuropeCyborgsE merging TechnologiesMachine LearningAristotle University of Thessaloniki
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