改进的LS-SVM理论在刮板输送机链条寿命预测中的应用  

Improved LS-SVM Theory in Chain Life Prediction of Scraper Conveyer

作　　者：赵丽娟[1] 张倩怡[1] 

机构地区：[1]辽宁工程技术大学研究生学院,辽宁阜新123000

出　　处：《计算机测量与控制》2011年第9期2069-2071,共3页Computer Measurement &Control

摘　　要：在分析以往理论计算和加速寿命试验方法在链条预测中的不足的基础上,提出了一种基于LabVIEW和改进的LS-SVM理论的刮板机链寿命预测系统,并给出了原理及实现方法;针对传统最小二乘支持向量机存储空间和计算量大的缺点,利用阈值改进最小二乘支持向量机算法;结果表明,算法对回归精度影响不大,能有效地减少存储空间,对刮板机链寿命有良好的预测能力,适合以模块形式嵌入到刮板输送机检测系统中。By analysing the insuffident of existing theoretical calculation and methods of accelerated life test in the chain prediction, it propose a kind of the chain life prediction of scraper conveyor based on LabVIEW and improved LS--SVM theory, and give the prindple and realized method. Aiming at the disadvantage of requiring plentiful storage space, plentiful calculation and so on of least square support vector machine, it take the method of improved least square support vector machine. The results show that, the system has a nice predicted ability of the chain life of scraper conveyor, occupies fewer re- sources, suits to set in the detecting system of scraper conveyor with the form of module.

关 键 词：LABVIEW 改进LS—SVM 刮板输送机链 寿命预测 

分 类 号：TD528[矿业工程—矿山机电] TP312[自动化与计算机技术—计算机软件与理论]