计算机工程与应用2011，Vol.47Issue(14)：204-206,241,4.DOI:10.3778/j.issn.1002-8331.2011.14.059
经验模态分解和AR模型在飞行器健康诊断中的应用
Application of EMD and AR model in health diagnosis for aircraft
摘要
Abstract
To effectively diagnose the aircraft structure components health status, a new kind of health diagnosis approach for the aircraft,based on EMD-AR model and PNN,is proposed in this paper. The advanced acoustic emission(AE) technique is used to monitor the aircraft key parts health state and get the AE information. And the AE signal is decomposed into the limited inherent modality function(IMF) by the EMD.Tben the first two IMF components are used to set up AR model,and compute the AR' parameters with the method of U-C.The auto-regressive parameters and residual variance are extracted to be the eigenvectors.The health status of the aircraft can be diagnosed with PNN health monitor. Experiments show that this method can effectively monitor the fatigue crack of the aircraft structure components. It presents a new approach to diagnose effectively health state of aircraft structure components.关键词
AR模型/U-C法/经验模式分解(EMD)/概率神经网络(PNN)/健康诊断Key words
AR model/U-C method/Empirical Mode Decomposition(EMD)/Probabilistic Neural Network(PNN)/bealth diagnosis分类
信息技术与安全科学引用本文复制引用
崔建国,郑新起,李忠海,李跃中,刘利秋..经验模态分解和AR模型在飞行器健康诊断中的应用[J].计算机工程与应用,2011,47(14):204-206,241,4.基金项目
航空科学基金资助项目(No.2007ZD54006) （No.2007ZD54006）
中国博士后科学基金资助项目(No.20070421062) （No.20070421062）
辽宁省教育厅科研基金资助项目(No.2008544) （No.2008544）
沈阳航空工业学院博士启动基金资助项目(No.06YB19). （No.06YB19）
