基于支持向量机的多绳提升机钢丝绳张力不平衡预测  

Prediction for Tension Imbalance of Wire Ropes in Multi-rope Hoist Based on Support Vector Machine

作　　者：王绍进[1] 刘锦荣[1] 杨兆建[1] 任芳[1] 

机构地区：[1]太原理工大学机械工程学院,太原030024

出　　处：《煤矿机械》2012年第5期65-67,共3页Coal Mine Machinery

基　　金：山西省留学回国人员基金资助项目(2004-19)

摘　　要：为了有效解决多绳提升机钢丝绳最大张力不平衡量的预测问题,提出了支持向量机预测模型,即先构造钢丝绳最大张力不平衡量样本序列,再运用支持向量机非线性回归算法预测钢丝绳张力最大不平衡量。试验分析结果表明,支持向量机预测模型不仅能有效进行钢丝绳张力最大不平衡量的预测,而且其预测精度优于新陈代谢GM(1,1)模型。In order to solve problem of prediction for maximum tension imbalance of wire ropes in multi-rope hoist,forecasting model based on support vector machine is proposed,sample sequences of maximum tension imbalance of wire ropes is firstly bulit,and the nonlinear regression algorithm of support vector machine is applied to forecast maximum tension imbalance of wire ropes.The analytical result of test shows that not only support vector machine model can effectively predict maximum tension imbalance of wire ropes,and its prediction accury is superior to metabolism GM（1,1） model.

关 键 词：支持向量机 非线性回归 钢丝绳最大张力不平衡 

分 类 号：TD444[矿业工程—矿山机电]