探讨了BP神经网络用于液压设备故障诊断专家系统的可行性。
At last the feasibility of using BP ANN in the fault diagnosis expert system of hydraulic power system is discussed.
结果表明利用神经网络能有效地解决液压设备的故障诊断问题。
A neural network is trained and tested by the vibration power spectrum of the hydraulic pump and the results show the validity of the neural network diagnosis.
在液压设备的状态监测与故障诊断中，数据采集系统提供设备的运行状态数据，其采集技术水平直接影响诊断结果。
It offers data for equipment running in the course of monitoring and fault diagnosis of hydraulic device. And the result of diagnosis is directly depended on the acquisition technique.
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