摘要
矿井提升机是煤矿的重要设备,对其进行故障诊断是提高煤矿安全的主要手段,因此,将灰色神经网络应用于矿井提升机的故障诊断。分析了矿井提升机的常见故障;研究了灰色神经网络的理论模型,设计了基于灰色神经网络故障诊断的算法流程;进行了故障诊断仿真研究,仿真结果表明:灰色神经网络具有较高的故障诊断效率和精度。
Mine hoist is an important device of mine, it is a main means for improving the safety of mine, and therefore the grey network is applied in it. The normal faults of mine hoist are analyzed, and then the theoretical model of grey neutral network is studied, and the algorithm procedure of it is designed. The fault diagnosis simulation is carried out, and results show that grey neutral network has high diagnosis efficiency and precision.
出处
《煤矿机械》
北大核心
2013年第11期268-270,共3页
Coal Mine Machinery
