基于BP神经网络的矿井通风机故障诊断系统

摘要

Introduces a diagnosis model of tri-tier BP neural network and extracts characteristic spectra information reflecting fault of mine ventilator within different frequency ranges,which are used to train the network.The trial results show that the system is%提出基于三层BP神经网络的诊断模型,提取反映矿井通风机故障信息的振动信号频谱特征,用来训练神经网络。实测证明矿井通风机故障诊断系统高效、准确,可以推广应用。