测控技术2013，Vol.32Issue(7)：121-124,129,5.
基于灰色聚类决策的监测参数优化选择方法研究
Optimization of Monitoring Parameters Selection Based on Grey Clustering Decision
摘要
Abstract
Prognostics and health management (PHM) has become an important part in complex systems,and selecting proper monitoring parameters(MPs) is the precondition and basis of PHM realization.Aiming at the lack of quantitative methods of MP selection in PHM,a novel approach based on grey clustering decision is proposed.Firstly,the basic MP selection criteria and the corresponding calculation methods are presented.Then,the grey clustering decision model for MP optimization selection is constructed,and an integrated weight determination method based on analytic hierarchy process and information entropy is provided.Finally,an aeroengine is used as an example to demonstrate the proposed approach,and the analysis results show the proposed method is effective and feasible.关键词
预测与健康管理/监测参数选择/灰色聚类决策/层次分析法/信息熵Key words
prognostics and health management/ monitoring parameter selection/ grey clustering decision/ analytic hierarchy process/ information entropy分类
自科综合引用本文复制引用
余江鸿,姚齐水,李睿,汤迎红,杨文,张然..基于灰色聚类决策的监测参数优化选择方法研究[J].测控技术,2013,32(7):121-124,129,5.基金项目
湖南省科技计划项目(2012GK3092) （2012GK3092）
湖南工业大学自然科学研究项目(2011HZX27) （2011HZX27）
湖南省"十二五"重点学科资助项目(湘教发[2011]76号) （湘教发[2011]76号）
