摘要
描述了以机电系统全寿命序列为代表的时间序列混沌特性,分析了灰关联分析和GM模型在产品可靠性预测中可开拓贫信息的可行性,阐述了GM和BP方法在机电系统全寿命预测时的特长及缺陷,介绍了将灰色理论用于机电系统全寿命小子样系统研究取得的进展,并以3个工程实例进一步验证。旨在应用灰色理论对重大机电产品全寿命预测中的小样本开发有所突破。
Chaos properties of time sequence, which takes the full-life sequence of electromechanical system as representative, were described. The feasibility of exploiting poor information by gray relevance analysis and GM model in the reliability prediction of product was analyzed. The advantages and shortcomings of GM and BP methods in full-life prediction of the electromechanical system were expounded, the advance acquired in applying gray theory by the authors to the full-life＇s few subsample system research of electromechanical system was introduced, and a further verification was made by three engineering living examples. The aim of this paper is to make a breakthrough to some extent on the development of few samples by applying the gray theory to the full-life prediction of significant electromechanical products.
出处
《机械设计》
CSCD
北大核心
2005年第9期7-9,共3页
Journal of Machine Design
基金
山东省自然科学基金资助项目(Y2002F19)
山东省科学技术发展计划资助项目(012050107)
关键词
小子样
灰色模型
神经网络
混沌
few subsample
gray model
neural network
chaos
