Robotics & Machine Learning Daily News2024,Issue(Jan.18) :14-15.

Researcher at Southwest Jiaotong University Publishes New Studys Findings on Machine Learning (Characterization of Fatigue Damages in Hadfield Steel Using Acoustic Emission and Machine Learning-s Based Methods)

Robotics & Machine Learning Daily News2024,Issue(Jan.18) :14-15.

Researcher at Southwest Jiaotong University Publishes New Studys Findings on Machine Learning (Characterization of Fatigue Damages in Hadfield Steel Using Acoustic Emission and Machine Learning-s Based Methods)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on artificial intelligence have been published. According to news reportingoriginating from Chengdu, People’s Republic of China, by NewsRx correspondents, research stated, “Structuralhealth monitoring (SHM) of fatigue cracks is essential for ensuring the safe operation of engineeringequipment.”

Key words

Southwest Jiaotong University/Chengdu/People’s Republic ofs China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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