兵工自动化Issue(5)：15-18,4.DOI:10.7690/bgzdh.2014.05.005
基于新息灰预测的导弹遥测参数预测算法研究
Research of Missile Telemetry Parameter Grey Forecast Algorithm Based on Metabolism
潘昶 1梅玉航1
作者信息
- 1. 中国人民解放军92941部队，辽宁 葫芦岛 125001
- 折叠
摘要
Abstract
In order to judging the missile fault in missile flight, establish grey forecast method based on innovation. Use every forecasting value of GM(1,1) model to replace the oldest information, and realize metabolism. Then use forecasting sequence which including new information but keeping same length to carry out real time forecasting for telemetry key parameter of missile work status. Analyze and compare old GM(1,1) model with improved GM(1,1) model through Matlab simulation software. The results show that the improved GM(1,1) model forecasting has high precision which is easy to implement and is suitable for the real-time forecast missile fault.关键词
灰色模型/新陈代谢/故障预测Key words
grey model/metabolism/fault forecast分类
军事科技引用本文复制引用
潘昶,梅玉航..基于新息灰预测的导弹遥测参数预测算法研究[J].兵工自动化,2014,(5):15-18,4.
