Beijing Institute of Structure Environment Engineering, Beijing, China;
Beijing Institute of Structure Environment Engineering, Beijing, China;
Beijing Institute of Structure Environment Engineering, Beijing, China;
School of Reliability and System Engineering, Beijing University, Beijing, China;
Valves; Servomotors; Fatigue; Surface cracks; Oils; Support vector machines; Computational modeling;
机译:使用极端学习机的电液伺服阀故障诊断
机译:往复式压缩机气门典型故障诊断的实验研究
机译:腐蚀磨损下电动液压伺服阀的退化评估和寿命预测
机译:ELICTA液压伺服阀元件典型磨损故障诊断研究
机译:稳态和瞬态条件下电动液压伺服阀开口的关键分析
机译:在气动控制阀故障检测和诊断中使用人工神经网络的发展
机译:使用多层PZT元件的超快速发挥的电液压数字阀和高速电液伺服阀