摘要
对GA-BP神经网络、BP神经网络及Elman网络的迭代次数、运算误差等方面进行了分析,用三组未训练的矿用提升机制动器的实测数据对GA-BP神经网络研判,结果表明:GA-BP神经网络在矿用提升机制动器故障诊断方面更具优势,为矿用提升机制动器故障诊断提供一种新的、可行的手段。
This paper analyzes the iteration times and operation errors of GA-BP neural network and Elman neuralnetwork, and judges GA-BP neural network with three groups of untrained data of mine hoist brake. The results showthat the proportion GA-BP neural network has more advantages in fault diagnosis of mine hoist brake, which providesa new and feasible method for fault diagnosis of mine hoist brake.
作者
狄日升
Di Risheng(Zheneng Majialiang Coal Industry Co.,Ltd.,Shuozhou Shanxi 03600)
出处
《机械管理开发》
2018年第10期98-99,202,共3页
Mechanical Management and Development
