液压马达的状态监测及故障诊断方法的研究

The Study on State Inspection and Trouble Diagnosis of Hydraulic Motor

利用神经网络方法解决液压马达多故障诊断的问题 ,文中通过对1液压马达故障机理的分析 ,针对液压马达多故障模式提出了利用神经网络进行多故障诊断的策略。理论和试验结果分析表明 ,利用神经网络方法可以有效地诊断和识别液压马达多故障模式 ,其识别率随着学习样本量的增大而提高。

Artificial Network(ANN)is applied to solve the problem of multi failures diagnosis of hydraulic motor.Based on the fault mechanism of typical failures,this paper suggests the multi failures diagnosis tactics by using neural networks.The theory and experiments indicate that the integrated BP networks method can effectively diagnose and distinguish the multi failures of hydraulic motor.And the multi failures distinguishing rate increases with the expanding the learning samples