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研究从液压泵振动、流量脉动和压力脉动信号的时域信息中提取诊断特征参数，组成最小诊断参数组合，并用人工种经网络进行信息融合。提出一种液压泵的人工神经网络在线故障诊断系统，并进行仿真试验。
In this paper, the diagnostic characteristic parameters are extracted from the time-domain information of hydraulic pump vibration, flow pulsation and pressure pulsation signals to form the minimum combination of diagnostic parameters, and the information is fused by artificial networks. An online fault diagnosis system based on artificial neural network for hydraulic pump was proposed and simulated.