首页|New Data from Kunming University Illuminate Findings in Robotics (Robot Joint Cy cloidal Gear Tooth Fault Detection In Robot Working Conditions Based On Piecewis e Mean Difference)
New Data from Kunming University Illuminate Findings in Robotics (Robot Joint Cy cloidal Gear Tooth Fault Detection In Robot Working Conditions Based On Piecewis e Mean Difference)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Robotics is now availab le. According to news reporting out of Kunming, People’s Republic of China, by N ewsRx editors, research stated, “In robot joints or rotary vector(RV) reducers, where cycloidal gears perform complex low-speed rotating motions involving reci procatingvariable speed and incomplete rotation, conventional methods typically fail to detect their tooth fault. Toaddress this issue, a piecewise mean diffe rence (PMD) method is proposed in this article.”
KunmingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningRobotRoboticsKunming University
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