首页|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)
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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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.”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSouthwest Jiaotong Universi ty
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