Robotics & Machine Learning Daily News2024,Issue(Sep.4) :40-40.

New Findings on Machine Learning from Southwest Jiaotong University Summarized ( Fatigue Life Enhancement of Catenary Droppers for High-speed Railways Based On A rrangement Optimization)

Robotics & Machine Learning Daily News2024,Issue(Sep.4) :40-40.

New Findings on Machine Learning from Southwest Jiaotong University Summarized ( Fatigue Life Enhancement of Catenary Droppers for High-speed Railways Based On A rrangement Optimization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Chengdu, People’s Republ ic of China, by NewsRx correspondents, research stated, “Whilehigh-speed trains rely on the pantograph-catenary system (PCS) to collect electric energy, the ca tenarydroppers constantly work as the key component of hanging contact wire, en suring the stability of highspeedcurrent-carrying slide. During train operation , dropper suffers from high-frequency bending andstretching due to the repeated interaction within PCS, which would inevitably accelerate the process offatigu e fracture and potentially threat the operation safety.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Southwest Jiaotong Universi ty

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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