Research Data from University of Science and Technology Beijing Update Understan ding of Machine Learning (Bolted Lap Joint Loosening Monitoring and Damage Ident ification Based On Acoustic Emission and Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Nov.1) ：69-70.

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Research Data from University of Science and Technology Beijing Update Understan ding of Machine Learning (Bolted Lap Joint Loosening Monitoring and Damage Ident ification Based On Acoustic Emission and Machine Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Beijing, Peop le’s Republic of China, by NewsRx journalists, research stated, “Monitoring bolt looseness in joint structures is vital for their safety and integrity. The rela tionship between bolt looseness-sensitive acoustic emission (AE) feature selecti on and damage mechanisms is unclear.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC).

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Science and T echnology Beijing

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出版年

2024

Robotics & Machine Learning Daily News

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