Health Diagnosis for Aircraft Based on EMD and Neural Network
To effectively diagnose the aircraft structure components fatigue damages, a new kind of health diagnosis approach for the aircraft, based on experience modal decomposition (EMD) and probabilistic neural network (PNN), is proposed in this paper. The advanced acoustic emission (AE) technique is used to monitor the aircraft stabilizer health state and get the AE information. And the AE information from the aircraft stabilizer is decomposed into the limited inherent modality function (IMF) by the EMD, which is quite fit for dealing with the non-linear and non-steady signal. The LMF energy is extracted to construct the eigenvectors. Then the health status of the aircraft can be diagnosed with the eigenvectors by PNN health monitor. Experiments show that this method can effectively monitor the fatigue crack of the aircraft stabilizer. It presents a new approach to diagnose effectively health state of aircraft structure components.
EMD PNN IMF energy health diagnosis AE
Jianguo Cui Xinqi Zheng Ming Li Zhonghai Li Dong Liu
Automatization College Shenyang Institute of Aeronautical Engineering Northeastern University Shenya Automatization College Shenyang Institute of Aeronautical Engineering Northeastern University Shenya Shenyang Aircraft Design & Research Institute Shenyang,China Automatization College Shenyang Institute of Aeronautical Engineering Shenyang,China
国际会议
长沙
英文
677-680
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）