基于扩展卡尔曼滤波的液压马达故障诊断

Hydraulic motor fault diagnosis using extended Kalman filter

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.