基于微粒群算法的GM(1,1,λ)模型的机械产品寿命预测  

Life-span prediction on mechanical products of GM(1,1,λ)model based on particle swarm algorithm

作　　者：刘虹[1] 张岐山[1] 

机构地区：[1]福州大学机械工程与自动化学院,福建福州350002

出　　处：《机械设计》2007年第10期4-5,61,共3页Journal of Machine Design

基　　金：国家自然基金资助项目(70571015);福建省自然科学基金资助项目(A0620001)

摘　　要：GM(1,1)模型用于机械产品寿命的预测,不仅需要的数据量较少,而且可以节约试验费用、减少大量的试验时间。该文用差分格式将灰色模型GM(1,1)拓广为GM(1,1,λ)模型,并应用微粒群算法(PSO)求解最优的λ值,对机械产品寿命进行预测。实例计算表明,基于PSO的GM(1,1,λ)模型的优化方法优于现有的灰色预测方法。When GM （ 1,1,λ） model is being used for the life- span prediction of mechanical, it needs not only less amount of data but may also economize the cost of experiment and reduce abundant- ly the experimental time. Using the differential format this paper let the grey model GM （ 1,1 ） be expanded to the GM （ 1,1,λ） model, and using the panicle swarm algorithm to solve the optimal A value so as to carrying out the prediction on life-span of mechanical products. Calculation of living example indicated that the optimization method of GM （ 1,1,λ） based on panicle swarm algorithm was better then the existing grey prediction method.

关 键 词：机械产品 寿命预测 GM(1 1 λ)模型 微粒群算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]