计算机应用研究2011，Vol.28Issue(12)：4564-4566,4575,4.DOI:10.3969/j.issn.1001-3695.2011.12.044
航空发动机的多参数快速故障诊断模型
Multi-parameter fast fault diagnosis model of aeroengine
摘要
Abstract
For the sake of improving efficiency of diagnosis and lowering the dependency of manual labor, this paper proposed a fast fault diagnosis model of aeroengine. The model combined characteristics of rough sets and grey theory. Redundant infor-mation was eliminated from feature information by rough sets, and then the reduction information was quickly and accurately predicted by multi-parameter grey model. The simulation results show preliminarily that the model saves the computing time greatly and can effectively meet the requirements of fast and real-time fault prediction while precision is not reduced.关键词
粗糙集/GM(1,1)模型/多参数/故障诊断/航空发动机Key words
rough set/ GM(1,1) model/ multi-parameter/ faults diagnosis/ aeroengine/分类
信息技术与安全科学引用本文复制引用
牛伟,王国庆,翟正军,成娟,郭阳明..航空发动机的多参数快速故障诊断模型[J].计算机应用研究,2011,28(12):4564-4566,4575,4.基金项目
航空科学基金资助项目(2010ZD53039) （2010ZD53039）
陕西省自然科学基金资助项目(2010HQ8005) （2010HQ8005）
