应用神经网络对电液伺服阀进行故障诊断

Fault Diagnosis for Electro-hydraulic Servo-valve Based on Neural Network

以电液伺服阀为研究对象 ,以液压CAT为手段 ,将BP网络与电液伺服阀故障诊断相结合 。

Taking electro_hydraulic servo_valve as the research object, we combined the BP network with fault diagnosis by the hydraulic CAT and succeeded in model identification of electro_hydraulic servo_valve.