针对泵车用柱塞泵常出现的若干故障状态和正常状态,提取泵壳上方的振动加速度信号,利用小波包分解后得到的各频段的能量向量作为特征参数,在Fuzzy ARTMAP神经网络中进行故障分类研究,得到了非常好的诊断准确率,为泵车的远程故障诊断系统的搭建提供了理论依据。
According to some fault status and normal status for the axial plunger pump in pump truck,the paper collects the vibration acceleration signal at the upper part of the pump shell,makes the energy vectors obtained from all frequencies by adopting the wavelet packet energy to decompose,and undertakes the fault classification research in the Fuzzy ARTMAP neutral network,and achieves the excellent diagnosis ratio,so as to provide the theoretic reference for establishing the long-distance fault diagnosis system.