摘要
针对液压马达在实践中经常出现的故障模式,从液压马达的模型出发,抽取重点关心的状态方程,采用扩展卡尔曼滤波(EKF)器的状态估计方法,对液压马达故障进行诊断研究,较好地提高了故障诊断的效率与精度。经某型液压马达故障诊断仿真结果表明,该方法可以准确地对液压马达的故障进行诊断,是一种有效的故障诊断方法。
Aimed at the failure mode of the hydraulic motor in practice, from the model of the hydraulic motor, taked the focus of the state equation concerned, using the method of extended Kalman filter state estimation, can realize accurate diagnosis of the failure of the hydraulic motor,can improve the efficiency and accuracy of the fault diagnosis. A certain type of hydraulic motor fault diagnosis simulation results show that the method can achieve accurate fault diagnosis of hydraulic motor, is an effective method of fault diagnosis.
出处
《现代制造工程》
CSCD
北大核心
2010年第4期145-149,共5页
Modern Manufacturing Engineering
基金
国家973重点基础研究发展计划资助项目(2006CB705404)
关键词
液压马达
故障诊断
扩展卡尔曼滤波
非线性估计
hydraulic motor
fauh diagnostics
Extended Kalman Filter(EKF)
nonlinear estimation