The Research on the Life Prediction of Mechanical Products Using the GM(1,1,(J) Model

摘要：

When GM (1,1) is used in the life prediction of mechanical products, few of data is needed and the experimental period is shorten. In this paper, in order to improve the prediction accuracy of GM(1,1), a new GM(1,1,(3) has been constructed with the difference scheme in GM (1,1), and Particle Swarm Optimization algorithm ( PSO ) has been applied to solve the best value of parameter/3 in GM( 1,1,/3), then PSO-GM( 1,1,/3) has been constructed. Some practical examples in the life prediction of mechanical products show that PSO-GM( 1,1,/3) is efficiency, reliability and remarkable.

关键词： Mechanical Products Life Prediction GM (1,1) Particle Swarm Optimization Algorithm

作者: Liu Hong Zhang Qishan

作者单位: School of Mechanical Engineering. & Automation, Fuzhou University, Fuzhou P.R.China, 350002

会议类型: 国际会议

会议名称: 第十四届工业工程与工程管理国际会议(The Proceedings of The 14th International Conference on Industrial Engineering and Engineering Management IE&EM2007)

会议地点: 天津

会议语种:英文

在线出版日期: 2007-10-20（万方平台首次上网日期，不代表论文的发表时间）