矿井提升机钢丝绳张力不平衡预测  

Mine Multi-rope friction Hoist Tension Unbalance Prediction

作　　者：姜华[1] 王金波[1] 李春静[1] 

机构地区：[1]黑龙江科技学院,黑龙江哈尔滨150027

出　　处：《自动化技术与应用》2011年第11期9-13,共5页Techniques of Automation and Applications

摘　　要：在阐述了多绳摩擦提升机钢丝绳张力不平衡的危害问题的严重性后,使用Matlab建立新陈代谢模型、BP模型和灰色BP神经网络模型根据200组实测数据,分别对钢丝绳间张力不平衡最大百分值进行预测。通过对预测结果对比,确定灰色BP神经网络预测方式效果较好。After expounding the seriousness of uneven rope tension in multi-rope elevator, Maflab is used to establish metabolic models, BP model and gray BP neural network model according to 200 groups measured data, respectively, to predict the largest unbalance in tension among the rope percentiles. By contrast the predictions, the gray BP neural network is the better way.

关 键 词：钢丝绳 张力 预测 

分 类 号：TD532[矿业工程—矿山机电]