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)

Robotics & Machine Learning Daily News2024，Issue(Apr.5) ：21-21.

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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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Abstract

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.”

Key words

Thessaloniki/Greece/Europe/Cyborgs/E merging Technologies/Machine Learning/Aristotle University of Thessaloniki

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出版年

2024

Robotics & Machine Learning Daily News

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