Research on Fault Prediction of Modern Aviation Electronic Equipment Based on Improved Grey Model
Research on Fault Prediction of Modern Aviation Electronic Equipment Based on Improved Grey Model作者机构：Equipment Department of Unit 95988 Aviation University of Air Force Chang Chun China Unit 95926 Aviation University of Air Force Chang Chun China
出 版 物：《Journal of Software Engineering and Applications》 (软件工程与应用（英文）)
年 卷 期：2013年第6卷第3期
页 面：1-3页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Grey Model Fault Prediction Modern Aviation Electronic Equipment
摘 要：The basic principle and method of Grey Model prediction are presented. In view of the defects of general GM(1,1) model, an improved method is proposed. That is using the particle swarm optimization algorithm to obtain the best forecast dimension and using metabolism to make the model parameters adaptively change. Finally, the improved Grey Model is used to predict the fault of high voltage power supply circuit of a certain type of modern air-borne radar. The results which are computed and simulated by Matlab software show that the forecast precision of improved Grey Model is higher than that of original Grey Model.
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