火力与指挥控制2012，Vol.37Issue(5)：52-55,59,5.
基于灰色理论的电子系统状态预测方法
The Study on State Prediction Method for Electronic System Based on Grey Theory
摘要
Abstract
The state prediction of electronic system usually makes full use of historical information to estimate its future state and tendency aiming at avoiding disastrous faults, which is very significant to the development of condition based maintenance. This thesis puts an analog filter circuit as an example and the state prediction technology based on grey theory is studied through analyzing the characters of its key testing signals, where particle swarm optimization algorithm is used to obtain the best forecast dimension and the metabolism method is presented to make the model parameters on-line change. Compared with the ARAM model, the experiment results show that the improved model has good precision and performance for state prediction.关键词
状态预测/灰色模型/粒子群算法/新陈代谢法Key words
state prediction/ grey model/ particle swarm optimization algorithm/ metabolism method分类
信息技术与安全科学引用本文复制引用
姚云峰,冯玉光,于磊,姜宇..基于灰色理论的电子系统状态预测方法[J].火力与指挥控制,2012,37(5):52-55,59,5.基金项目
国家自然科学基金资助项目 （）
