首页|Studies from Zhengzhou University of Light Industry Have Provided New Informatio n about Field Robotics (Squeeze-and-excitation Attention Residual Learning of Pr opulsion Fault Features for Diagnosing Autonomous Underwater Vehicles)
Studies from Zhengzhou University of Light Industry Have Provided New Informatio n about Field Robotics (Squeeze-and-excitation Attention Residual Learning of Pr opulsion Fault Features for Diagnosing Autonomous Underwater Vehicles)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ro botics - Field Robotics. According to newsreporting originating from Zhengzhou, People’s Republic of China, by NewsRx correspondents, researchstated, “Given t he demanding and unpredictable operational conditions, autonomous underwater veh icles(AUVs) often encounter different propulsion faults, leading to significant economic losses and missionimpairments. To address this challenge, vibratory t ime-series features can be extracted for the precisepropulsion fault diagnosis of AUVs.”
ZhengzhouPeople’s Republic of ChinaA siaField RoboticsRoboticsZhengzhou University of Light Industry
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