基于BP神经网络的索道钢丝绳损伤研究  

Research on rope damage of ropeway based on BP neural network

作　　者：温浩 刘兆羽 陈琳 Wen Hao;Liu Zhaoyu;Chen Lin

机构地区：[1]国家客运架空索道安全监督检验中心,北京100007

出　　处：《起重运输机械》2023年第7期34-38,共5页Hoisting and Conveying Machinery

摘　　要：钢丝绳是客运架空索道的主要承载部件,其损伤情况关系着整条索道的安全。钢丝绳断丝数量关系到钢丝绳质量和报废,合理地进行钢丝绳损伤检测有助于保障索道安全运行,减少企业损失。文中通过合理选用隐含层神经元数目,调用匹配的激活函数,搭建单线固定抱索器索道钢丝绳断丝BP神经网络预测模型,获得不同参数下钢丝绳断丝情况,为制定合理的钢丝绳损伤检测时间提供参考。Wire rope is the main bearing component of passenger aerial ropeway,and its damage is related to the safety of the whole ropeway.The number of broken wires of wire rope is related to the quality and scrap of wire rope.It is helpful to ensure the safe operation of ropeway and reduce the loss of enterprises to detect the damage of wire rope in a reasonable period of time.By reasonably selecting the number of neurons in the hidden layer and using the matching activation function,a BP neural network prediction model of wire rope breakage of ropeway with single-line fixed rope grip was established to reveal the wire rope breakage under different parameters and provide a basis for determining a reasonable wire rope damage detection frequency.

关 键 词：客运架空索道 钢丝绳 BP神经网络 损伤 检测 

分 类 号：TH235[机械工程—机械制造及自动化]