Research Results from University of South Carolina Update Understanding of Artificial Intelligence (Artificial Intelligence-Enabled Crack Length Estimation From Acoustic Emission Signal Signatures)

Robotics & Machine Learning Daily News2024，Issue(Jan.2) ：41-41.

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Research Results from University of South Carolina Update Understanding of Artificial Intelligence (Artificial Intelligence-Enabled Crack Length Estimation From Acoustic Emission Signal Signatures)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news reportingfrom the University of South Carolina by NewsRx journalists, research stated, “This article addresses theclassification of fatigue crack length using artificial intelligence (AI) applied to acoustic emission (AE)signals. The AE signals were collected during fatigue testing of two specimen types.”

Key words

University of South Carolina/Artificial Intelligence/Emerging Technologies/Machine Learning

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出版年

2024

Robotics & Machine Learning Daily News

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